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relevance Profile Interested candidates should meet the following requirements to be eligible for the position: A PhD or Doctoral degree in Energy Systems, Computer Science, Applied Mathematics, or a field
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interests in social network analysis, data informatics, and developing, and implementing applied research projects aimed at improving reach and effectiveness of behavioral health services for young people
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or above with at least 6.0 in each component, or equivalent. Please see this link for further information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language How to apply Please complete
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, at Makerere University, Uganda and University of Cape Town, South Africa). More information about the network can be found here . The PhD fellows will automatically be admitted to the Faculty of Social Sciences
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European MSCA Doctoral Network UNVEIL , where you will work together with 11 other PhD candidates employed at different leading universities, research institutes, companies and museums throughout Europe
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: 4 years Start date: August 2026 at latest position This position is part of: 19 PhD Fellowships available in Digital Endocrinology in the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join
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Network project funded by the Marie Skłodowska-Curie Actions (MSCA) programme. The project brings together leading academic and industrial partners from eight European countries (Germany, France, United
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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Degree PhD Course location Potsdam In cooperation with The innovative PhD and postdoctoral programme is offered in conjunction with the Faculty of Digital Engineering, a faculty jointly founded by
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, computer science, biomedical engineering, or a closely related area. You will have experience in one or more of the following: (non-autonomous) dynamical systems, complex networks, bifurcation theory