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. Applicants with a strong background in optimization (including machine learning), algorithmic game theory, decision theory, computational social choice, social welfare, or fairness optimization are welcome
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for accurate and efficient analysis. Possible Research Themes We seek motivated PhD candidates to advance computational mass spectrometry in one or more of the following directions: Algorithm Development Design
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vision systems (both hardware and software aspects), • development of machine vision algorithms, • support in leading a research team, • participation in teaching activities. Work Location(s) Number
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(cooperation with R programmer) modelling impact on soil ecosystem services in various real use cases and different scenarios. (several SOILPROM case studies in different countries focusing on different
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the finally developed structures in-situ with superconducting thin films Focus on growing complex heterostructures with stress on high quality interfaces that enable efficient coupling between the different
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of electrodes using spectroscopical and electrochemical techniques at different levels from micro-scale to macro-scale. She/he is expected to finish the project with a PhD thesis and to disseminate the results