526 to 550 of 1,110 Physics Jobs

attitude, with an eagerness to dive headfirst into problems and pick things up quickly. Nice to have: A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline. We are an in-person company that values collaboration and team culture. Everyone works in the office Tuesday through Thursday, with flexibility to work from home More ❯

approaches ensures continued professional growth. Above all else, your collaborative spirit fosters harmonious relationships across departments while supporting collective objectives. Demonstrable experience in quantitative disciplines such as statistics, mathematics, physics, operational research or computer science is essential for this appointment. A proven record in developing or validating climate science models specifically tailored for financial services or capital markets applications is More ❯

days annual leave, plus bank holidays and enhanced family leave A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 20 different nationalities A learning environment that encourages individual, team and company growth and learning, including a regular programme of learning events and training and conference More ❯

days annual leave, plus bank holidays and enhanced family leave A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 20 different nationalities A learning environment that encourages individual, team and company growth and learning, including a regular programme of learning events and training and conference More ❯

days annual leave, plus bank holidays and enhanced family leave A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 20 different nationalities A learning environment that encourages individual, team and company growth and learning, including a regular programme of learning events and training and conference More ❯

/or call-in. About Nusano: At Nusano, we believe in the power of innovation to enhance lives and strengthen the communities we serve. We are more than a physics company; we are pioneers in the production of both medical and industrial isotopes. Our mission is to ensure that high-quality radioisotopes are readily available for critical applications, from cancer More ❯

goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact More ❯

resilience to reverse disease, injury, and age-related disabilities. Minimum Qualifications - Masters or Ph.D. degree in a quantitative/computational field such as computer science, artificial intelligence, mathematics, statistics, physics, or computational biology, or equivalent experience; Experience in developing machine learning models; Very strong programming skills, including experience with Python and deep learning libraries such as PyTorch or JAX; Experience More ❯

language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline. Previous experience in energy modelling, with a specific focus on the GB and/or European power systems. Strong quantitative skills and a proven track record More ❯

language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline. Previous experience in energy modelling, with a specific focus on the GB and/or European power systems. Strong quantitative skills and a proven track record More ❯

procedures. Create and maintain detailed technical documentation, including test plans, procedures, data analysis reports, and process control records. Minimum Qualifications: Bachelor's or Master's degree in Optical Engineering, Physics, Electrical Engineering, or a related Engineering field. 3+ years of hands-on experience in optical testing, with a focus on waveguides or similar optical components. Proficiency in statistical data analysis More ❯

and workshops relevant to HPC and stay current with HPC trends. What you bring: Bachelor's degree in Computer Science or relevant experience. Candidates from scientific backgrounds such as physics, maths and other analytical sciences are welcomed, as well as someone who just completed their PhD degree. 3+ years of experience working with Linux; with scientific code and performance tuning. More ❯

generation. Translate complex sensor data into clear findings for internal use and product development. About You MSc or equivalent industry experience in a relevant field (e.g. Computer Science, Engineering, Physics, Statistics). Candidates with a BSc and strong production experience will also be considered. Experience delivering data science or data engineering solutions into production. You're comfortable writing production-grade More ❯

using best practice Willing to teach others and increase your own knowledge. You really must have: You will have either a HNC/HND or Undergraduate Degree (Electronic Engineering, Physics, or Systems based) or you may just have lots of skills and experience gained through your hard work. Familiarity with circuit design (schematic capture) layout and simulation design tools Mixed More ❯

guidance and leadership to junior members on a need basis SKILLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 2-4 years experience in financial modeling Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance More ❯

and product management. • Undertake improvements to existing products as needed. EDUCATION/EXPERIENCE: Essential: • Educated to Degree or higher in a natural sciences discipline, with a strong analytical focus, physics or Chemistry. • A strong scientific and technical background post education. • A flair for innovation demonstrated through a record of IP generation or scientific publications. • Experience in the development of scientific More ❯

Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or More ❯

Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more More ❯

with relational databases (ideally PostgreSQL). Bonus: Experience with Django An understanding of data analysis and statistics. A strong numerical or technical background, underpinned by a degree in maths, physics, computer science, engineering, or similar industry experience. The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded, so definitely include your More ❯

the listed location options. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 2+ years of experience in a role that required teaming and collaboration skills, and ability to work well with a geographically dispersed cross-functional More ❯

the listed location options. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 2+ years of experience in a role that required teaming and collaboration skills, and ability to work well with a geographically dispersed cross-functional More ❯

the company through dialogue with data science and geoscience leaders as well as how data scientists, geologists, and engineers interact with data. Develop and deploy machine learning, statistical, and physics-based techniques to guide our targeting efforts and inform our acquisition and exploration decisions. Set the roadmap and vision for the Scientific Computing team, working closely with other KoBold executives. More ❯

goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact More ❯

principles Desirable: UK DV Clearance or the ability to obtain it A degree or similar in a STEM, Data, AI or a Programming related subject (such as Computer Science, Physics, Mathematics, Artificial Intelligence) is preferable Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks into production Experience More ❯

junior staff in proper creation of automated test scripts. Financial services industry experience is preferred. Qualifications: Education: B.S. degree (or foreign education equivalent) in Computer Science, Engineering, Mathematics, and Physics or other technical course of study or Business with an MIS background. MS degree strongly preferred. Experience: 6 - 9 years of experience in software testing in a process driven technology More ❯