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research group focusing on sustainable critical raw materials recycling, green organic synthesis and mechanochemistry. He and his evolving group are hosted at the Synthesis and Analysis floor by Professor
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. Essential qualifications PhD in computational statistics, bioinformatics, systems biology, or a related field. Strong expertise in statistical methods, including machine learning approaches, for analysis
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if the candidate has gained solid experience in relevant omics analyses (esp. Single-cell methodologies and/or multi-omics). Experience in live cell image analysis, and/or metabolic analyses is a plus, as we also
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considered. The candidate should be able to demonstrate quantitative data analysis skills and a good understanding of experimental research design. Experience in conducting behavioural experiments or using
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. The project combines quantitative modelling of markets and the wider energy system with empirical analysis of how flexibility is created, priced, and traded by market participants. A central objective is to
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strong background in psychology, but other related areas may also be considered. The candidate should be able to demonstrate quantitative data analysis skills and a good understanding of experimental
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generation and analysis Advanced molecular biology methods Animals models of inherited eye diseases Postdoctoral researchers have a teaching load of up to 10% of their annual working time. The chosen applicant
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together with research group members and collaborators in data analysis and management, as well as producing scientific outputs • Contributing to preparing funding applications What we offer The support
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astrophysics is considered as an asset Proficiency in computational methods, programming (e.g., Python,..) and data analysis Mentoring of less experienced team members (i.e. students) Ph.D. degree in nuclear
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for an engaged postdoctoral researcher, who is an expert in qualitative methods and that has an interest in cooperatives. The work will involve: Conducting qualitative comparative analysis (QCA) to examine factors