201 to 225 of 515 Remote Physics Jobs

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 ❯

C++, C#, .NET, SQL, TypeScript, Python or similar. Commercial experience of leading, managing and directing software teams (at least 3 years). Degree educated in Engineering, Computer Science, Mathematics, Physics or related field. Extensive experience with Azure DevOps and working in an Agile development process. Experience in real time embedded system development. Experience of working within the framework of a 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 ❯

that communicate insights derived from model outputs and quantitative analysis. Skills And Behaviours Hold a BSc and/or MSc or PhD degree in engineering, economics, applied mathematics or physics or other relevant disciplines. Deep knowledge of the fundamentals of electricity markets. Demonstrated data management skills, including the ability to use programming tools, preferably GAMS or Python or R for 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 ❯

Some mentoring experience or experience leading a small team. • Ability to work with minimal supervision in an agile-based team environment. • Bachelor of Science (BSc) in a Computer, Math, Physics or Engineering related field. What We'd Love: • Experience in operations and mission critical systems. • Experience related to Flight Dynamics Systems or Space Systems. • Experience with ground segment Integration and 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 ❯

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 ❯

supportive community, nurturing exceptional talent in the building services industry. We work closely alongside our internal and external consultant colleagues in the architectural, civil, structural, PM, QS, environmental, building physics, sustainable design, acoustic, transportation, planning and landscape disciplines designing new data centres (hyperscale and co-locations) at the forefront of technology for our clients across the world. We are seeking 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 ❯

to ecommerce plugins Experience with Django and PostgreSQL Understanding of DevOps practices, including containerisation and CI/CD A strong numerical or technical background, with a degree in maths, physics, computer science, engineering, or relevant industry experience The salary We expect to pay from £60,000 - £80,000 for this role. But, we’re open-minded, so definitely include your 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 ❯

passion for solving problems Requirements to be eligible for this apprenticeship opportunity What you need A demonstrable interest in a career in data engineering 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 ❯

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 ❯

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 ❯

will change the way surgery is performed and improve patient care. Qualifications The following are essential credentials for this role: Master's Degree or higher in Computer Science, Mathematics, Physics or a related discipline. Excellent familiarity with C++ and Python. Confidence handling natural (2D) images and developing Computer Vision pipelines. Enthusiasm to work in a small and skilled Software team More ❯

and problem-solving skills. Bonus: A strong interest in tech solutions, and how tech is built (even if you're not a developer) A strong numerate background, i.e. maths, physics, statistics, computer science, or similar. Experience with SQL, Python, or other programming languages. Experience with financial products or fintech. The salary We expect to pay from 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 ❯

entailed in the role. Experience working as a Data Scientist, ideally on client-facing analysis or products. Degree (or equivalent) in a quantitative field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics. Proficient using Python and/or R and SQL for the download, cleansing and analysis of data. Proficient in coding and creating insightful analysis and More ❯

supportive community, nurturing exceptional talent in the building services industry. We work closely alongside our internal and external consultant colleagues in the architectural, civil, structural, PM, QS, environmental, building physics, sustainable design, acoustic, transportation, planning and landscape disciplines designing new data centres (hyperscale and co-locations) at the forefront of technology for our clients across the world. We are seeking More ❯

insights accessible to non-technical audiences. Foster strong partnerships with the Data Science & Digital Health team, collaborating on cross-functional projects to drive scientific innovation. QUALIFICATIONS Required: PhD in Physics, Neuroscience, Applied Mathematics, Computer Science, Statistics, Biomedical Informatics, or a related field with a focus on multi-modal neuroimaging and computational neuroscience. At least 2 years of progressive experience with More ❯

be incorporated Share findings and best practices for your business unit with analysts in other business units Job requirements Bachelor's degree or higher in a quantitive (statistics, mathematics, physics, engineering, computer science, etc) or financial discipline. Strong analytical skills Experience in business intelligence, product analytics, marketing KPIs, or web analytics at least 5 years of relevant working experience in More ❯