114 python-"Prof"-"NTNU---Norwegian-University-of-Science-and-Technology" PhD positions
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data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will
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, dynamical systems and statistical physics. The candidate will be jointly supervised by the Coventry team Dr Fei He and the Stellenbosch team Prof. Francesco Petruccione . This project will contribute
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. Experience of advanced data analytics, including if possible experience of coding in Matlab and/or Python, is highly desirable. Experience of collecting neuroimaging and/or wearables data from infants/children
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and/or Python, is highly desirable. Experience of collecting neuroimaging and/or wearables data from infants/children is also desirable. The project will be based at the Institute for the Science of
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, fNIRS and home wearable recordings from babies and children. Experience of advanced data analytics, including if possible experience of coding in Matlab and/or Python, is highly desirable. Experience
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information about the role, please contact Prof. Radu State Your profile Strong background in AI, machine learning, or multi-agent systems, ideally with interest in financial systems, decentralized ledgers
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university Heidelberg (Prof. Dr. Skyler Degenkolb) seek to bring quantum sensing methods into precision neutron science, further extending the power and reach of these measurements. Innovative new devices can
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Sustainable Decision Making (Prof. Dr. Clemens Thielen), which is located at the TUM Campus Straubing for Biotechnology and Sustainability (TUMCS) and affiliated with the Department of Mathematics. The expected
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, robust/distributed control, data-driven identification/control, numerical optimisation. Strong programming skills in at least two of the following: Julia, MATLAB, C/C++, Python. Demonstrated ability
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in the Division of Proteomics of Stem Cells and cancer, headed by Prof. Jeroen Krijgsveld. Our division develops innovative proteomic approaches to understand proteome regulation in cancer, both in