289 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" PhD positions in United Kingdom
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, engineering, mathematics, physics or related field; strong programming skills; interest in ML, computer vision, robotics, embodied AI or autonomous systems; motivation for independent research and high-quality
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structural dynamics, hydrodynamics, or marine systems Experience with programming or numerical tools (MATLAB, Python) A willingness to work across disciplinary boundaries Motivation to tackle open-ended, real
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space companies, business and governmental bodies. As part of this vibrant programme, we are seeking to recruit a fully funded PhD student to join our team of researchers working across the Arts
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Harris once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . This PhD will co-design digital prototypes for cancer care and complex healthcare decision
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for our PhD programme . How to apply Applications should be submitted via the above 'Apply' button. In place of a research proposal, you should upload a document stating the title of the project that you
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information may be integrated with other forms of farm data to improve the reliability of automated welfare assessment. The successful candidate will undertake a structured training programme at the start of
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, Machine Learning, or Smart Energy Publication record in peer-reviewed journals or conferences, commensurate with stage of career Good programming skills in Python, R, Java, or Matlab Experience
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finite element analysis; MATLAB or Python programming; An interest in electrified propulsion and industrially relevant research. Experience in electromagnetic design, thermal analysis, optimisation
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monitoring. Candidates should have a background in computer science, AI, machine learning, affective computing, computational psychology or related areas. Strong programming skills are essential. Funding
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discipline. Prior experience in any of the following is a plus but not essential: ultrasound or wave physics, numerical simulation, Python programming, and machine learning frameworks. Most importantly, we