1,044 programming-"https:"-"https:"-"https:"-"Washington-University-in-St" PhD positions
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subject to change without notice. Where we have listed information about jointly run scholarships programs, please also see our partners' websites. Information describing the number and value
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very good ability in evaluating and presenting data. Ability to work in a structured and autonomous way. The ability to independently plan, perform and evaluate research studies. Very good oral and
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techniques e.g. laser and optical instrumentation; computational/numerical modelling programming skills e.g. Python, C++. Eligibility Open to both UK and International applicants, including EU applicants. How
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thinking, which they will apply in their domain-specific research in materials design, discovery and processing. By working with each other and benefiting from a tailored training programme they will become
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an application Status: Open for applications The information listed here is subject to change without notice. Where we have listed information about jointly run scholarships programs, please also see our partners
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large scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into environmental or soil science
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algorithms and machine learning. Strong background in programming (e.g. MATLAB, Python) and tools (e.g. Ansys, HFSS or CST Studio Suite). Good Hands-on skills using equipment and hardware platforms including
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. Starting October 2026, the programme offers 13 fully funded studentships, including 2 AHRC Doctoral Landscape Awards, plus four fees-only studentships. Full details on how to apply and fees are here - if you
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background or strong interest in machine learning, graph theory, and their mathematical foundations. Solid programming skills Experience with machine learning libraries or willingness to acquire Excellent
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of selectively targeting sarcomas. This would allow for selective delivery of the drug to the tumour, increase drug specificity and reduce unwanted off-target effects. In this project we plan to progress this work