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discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator
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the fellow Prof J. L. Bamber, University of Bristol (https://research-information.bris.ac.uk/en/persons/jonathan-l-bamber), Prof X. Zhu (https://www.asg.ed.tum.de/en/sipeo/home/) and Dr M. Passaro in
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, Denmark, and is headed by Prof. Petar Popovski. The center aims to revolutionize communication systems for the quantum age. As quantum technologies rapidly advance, CLASSIQUE focuses on a critical challenge
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of Psychology and Neuroscience. You’ll work closely with Prof. Dr. Alexander Sack (principal investigator of FLOW), and collaborate with researchers such as Prof. Dr. Teresa Schuhmann, Dr. Sanne ten Oever, Dr
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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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: Experience in molecular/cell biology techniques AND basic programming skills (Python or R) • For computational candidates: Strong programming skills AND interest in cancer biol-ogy/immunology • Ability
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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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for candidates who have: Strong programming skills, particularly in Python Solid analytical and mathematical abilities Experience with machine learning Strong communication skills and proficiency in English The
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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