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multiple teams demonstrate a capacity for innovative research, new methods & methodologies, and cross-disciplinary thinking be able to cooperate on an international research project ability to carry out
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in both written and spoken form is an advantage Requirements related to job content have excellent communication skills and be able to collaborate with multiple teams demonstrate a capacity for
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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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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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candidates, based at universities and industrial firms throughout Europe. She/he will be supported by two mentors within the SPACER project, and will have multiple opportunities to participate in professional
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Consortium – LepEU (https://lepeu.github.io/ ). Multiple avenues for international networking, hands-on training and mobility will be available. Our research team is part of the 10kLepGenomes COST Action
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population genomics protocols will be provided by our collaborators at the European Population Genomics Consortium – LepEU (https://lepeu.github.io/ ). Multiple avenues for international networking, hands
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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