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will have the opportunity to be affiliated with the program BRU21 , with the IoT@NTNU , and with the Norwegian Open AI lab , and to collaborate with research scientists from international partner
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
for the Everyday). We have an excellent Researcher Development programme, and wider institutional postgraduate training. We are committed to supporting a strong and growing PGR community, including PGR-Led
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requirements Open to any UK or international candidates. Starting in January 2026. You will need to meet the minimum entry requirements for our PhD programme . By the start of the PhD programme, applicants must
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research training program, unless research training under the supervision of a senior mentor is a primary purpose of the appointment. · The appointee works under the supervision of a scholar or a department
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mathematics, computational biology, quantitative biology, or a related field. Experience in ABM development and ODE/PDE modeling and analysis. Strong programming skills (Python, Julia, Matlab, C++, or similar
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simulations and perform computational experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including
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disciplines; or a Master's degree with at least 1 year's post-qualification experience Research experience in the field of computational biology and bioinformatics through advanced programming (Linux Shell
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datasets using programming languages such as R, SAS, Stata and Python A strong quantitative background in mathematical and simulation modelling, especially Markov-chain, common decision-analytic model
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of Precision and Microsystems Engineering (PME) at the Delft University of Technology. It is funded through the Dutch National Growth Fund NXTGEN programme of NWO. This vacancy is for a four-year PhD researcher
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, chemistry, chemical engineering, computer science, or a related field. Experience in continuum solid mechanics. Experience with machine learning for scientific applications. Strong programming skills (e.g