29 cloud-computing-phd-student Postdoctoral positions at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
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. Supervise master’s and/or PhD students and take the lead for the electrochemistry subgroup in the Giovannitti group Possibility to engage in teaching at undergraduate/master’s level The position is
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effects while building machine-learning-ready kinetic datasets for predictive catalyst design. You should have a PhD (or about to obtain) in Chemistry or field related to this project (Chemical Engineering
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being a force for good in the world. Whether contributing to world-class research, shaping the student experience, or supporting the University's mission in other ways, you will be part of a dedicated
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Effective working in teams What you will do Test and evaluate the performance of polymeric electrodes for electrosynthesis. Supervise master’s and/or PhD students and take the lead for the electrochemistry
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have completed a Master’s degree and hold a PhD in a field relevant to forest sciences. Applicants should be eligible to apply for an ERC Starting Grant or the Emmy Noether Programme after two years
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the University of Greifswald’s Interdisciplinary
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Faculty members, PhD students, postdocs, engineers and an administrator. We expect you to have Strong experience with experimental quantum optics. Interest in didactics and teaching. Ability to take a
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of mathematical theory, statistical methods, and software in statistical genetics. This role is ideal for a researcher with strong quantitative and computational skills interested in foundational research exploring
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. Each postdoctoral fellow will be hosted by one of the faculty members listed below. Candidates must hold a PhD, or expect to be awarded one by the end of the calendar year, and at the time of appointment
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georeferenced data on pest outbreaks. The Scholar will use these data in collaboration with computer scientists to develop machine learning algorithms for the detection and management of biotic stress. The crops