376 to 400 of 910 Physics Jobs in the UK

FPGA technologies from either Xilinx, Intel (Altera) or Microsemi (Actel) and their tools. - Degree (BSc, BEng, MEng, MSc, PhD, EngD) in Electrical & Electronic Engineering (preferable) or related science (e.g. Physics). Personal attributes and values are just as important to us as technical ability, so we are looking for engineers with a willingness to learn, progress and develop through our More ❯

of the Senior System Engineer: Relevant experience in an aligned engineering field Experience in Test & Evaluation or Integration Essential qualifications for the Senior System Engineer: Honours Degree in Engineering, Physics or similar. HNC/D Level qualification is acceptable if accompanied with appropriate experience We value difference and we don't have a fixed idea when it comes to background More ❯

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 ❯

/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 ❯

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 ❯

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 ❯

verification and integration at hardware and system level alongside Software and Electronic Engineers. Degree (BSc, BEng, MEng, MSc, PhD, EngD) in Electrical & Electronic Engineering (preferable) or related science (e.g. Physics). Personal attributes and values are just as important to us as technical ability, so we are looking for engineers with a willingness to learn, progress and develop through our More ❯

sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS Bachelor's degree in Information Technology, Computer Science, Engineering, Mathematics, Physics or equivalent industry experience. 1+ years of experience in managing full 3 tier application stacks from the OS up through custom applications Relevant work experience in Linux or Windows systems More ❯

design and execute a solution, and communicate with stakeholders Bonus: 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. Experience with Django Experience with relational databases (ideally PostgreSQL) The salary We expect to pay from £70,000 - £90,000 for this role. 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 ❯

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 ❯

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 ❯

supervision. Proficiency with data manipulation and modelling tools - e.g., pandas, statsmodels, R. Experience with scientific computing and tooling - e.g., NumPy, SciPy, R, Matlab, Mathematica, BLAS. Degree in Statistics, Mathematics, Physics or equivalent. Bonus: Experience implementing solutions in a production environment (e.g., continuous integration). Experience with Python. (Note: we mostly work in Python.) Experience with Bayesian statistics. The salary We 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 ❯

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 ❯

and limiting the impact of long-running or resource-heavy queries. Experience with infrastructure automation, like setting up monitoring and alerting for pipelines Bonus: Strong academic background in maths, physics, computer science, engineering, or a related field. Active in tech or open-source communities, with a passion for sharing knowledge and inspiring others. An open mind and the flexibility to More ❯

passion for solving problems Requirements to be eligible for this apprenticeship opportunity What you need A demonstrable interest in a career in data analyst through subjects like maths, computing, physics, or personal projects 3 or more A-Levels (A-C) or equivalent (STEM subjects are a plus) 5 GCSEs including Maths and English at grade 4 (C) or above (or More ❯

passion for solving problems Requirements to be eligible for this apprenticeship opportunity What you need A demonstrable interest in a career in data analyst through subjects like maths, computing, physics, or personal projects 3 or more A-Levels (A-C) or equivalent (STEM subjects are a plus) 5 GCSEs including Maths and English at grade 4 (C) or above (or More ❯

guidance and leadership to junior members on a need basis SKLLS AND EXPERIENCE WE ARE LOOKING FOR PhD or Master's candidate in a quantitative field such as mathematics, physics, statistics or engineering 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 is More ❯