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, visit: https://sites.google.com/view/tommaso-giovannini The ideal PhD candidate has: a solid background in theoretical/computational condensed-matter physics or chemistry (MSc in Physics, Chemistry
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/Qualifications Master’s degree in (Bio)informatics, Data Science, Biomedical Sciences, Computational Biology, or related disciplines. PhD will be a plus. Strong background in (bio)informatics and largescale
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Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive: https://www.sheffield.ac.uk/postgraduate/phd/scholarships View DetailsEmail
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webpages for further information: https://www.sheffield.ac.uk/postgraduate/phd/scholarships Loans are available to eligible home fee-paying doctoral students studying postgraduate research courses: https
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; interface with park/permit authorities as needed. Mentor students; lead manuscripts and conference presentations; contribute to follow-on proposals (e.g., continuous monitoring concepts). UF is located in
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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Benefits - A comprehensive, interactive and international training programme covering the broader aspects and interface between life science, data science, artificial intelligence and humanities and social
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interface with cyber and physical aspects of power systems such as the software-defined networking (SDN) in the microgrid control. Supervised by Prof. Xin Zhang (cyber-physical power systems) , the PhD
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receive interdisciplinary training at the interface of molecular biology and biophysics with a particular emphasis on imaging and computational analysis methods. You will be part of an international network