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Apply now The Department of Earth Sciences is looking for a highly motivated postdoctoral researcher with a PhD in Earth Sciences, Environmental Sciences, Biology or other appropriate field. You will work
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theoretical analysis approaches to biological systems. You are a team-player with a creative mind, and you are well-organized. You also possess: A PhD in biology or related fields; Work experience in working
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are looking for candidates who meet the following requirements A PhD degree in molecular biology or biochemistry. Familiarity with protein modeling tools and software solutions. Knowledge and skills in protein
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scientific confidence in new approach NAMs robust and efficient processes are essential. NAMs must be purpose-fit, reliable, and—when assessing human health effects—provide data that is relevant to human
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differentiation of generic and complex computer programs (including control flows, data structures, and possibly memory) allows for the exploitation of any-order differentials to obtain transformative effects
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ourselves in normative space can be upended by various new implementations of technology. Knowledge institutions, procedures of processing information, practices of adjudicating disputes about facts, are
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Employment 0.8 FTE Required background PhD, Research University Degree Organizational unit Nijmegen School of Management Application deadline 05 June 2025 Apply now Are you interested in the role
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for this position will have the following qualifications/qualities A PhD degree in either machine learning or computational molecular sciences. Advanced knowledge in molecular machine learning. Advanced knowledge in
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within complete social networks, linking neural profiles to various social network processes such as similarity selection and peer influence. Organisation The University of Groningen is a research
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project Health4DE-NL financed by INTERREG. Next to this PostDoc position we plan to hire a PhD-student at the University of Oldenburg and student assistants. Project team This is a cross-border project led