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. In this project we will continue development of a new high-throughput method that will speed up and improve such predictions. We will further develop a combination of automated patch clamping and
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projects related to the Japanese language , culture , history , literature , art , music , politics, economy and science . The fellowship will be for four fulltime years, starting September 2026 or as soon
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the project is expected to result in several highly impactful publications. We offer an exciting opportunity to contribute to an ambitious and research programme within a highly motivated team and to
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. Furthermore there is the possibility to work on applications of Topology in the Sciences. Symmetry on the interface of topology and higher algebra The position is part of the NWO ENW-XL project Symmetry
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breeding programs is a complex task and outcomes of a certain decision in practice often becoming apparent only after several years. Therefore, effective and long-term breeding programs require reliable
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-funded research project examining social ostracism (being ignored and excluded) as a lived experience, and how it intersects with the broader phenomena such as loneliness, discrimination, and group-based
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at the University of Twente is looking for two PhD candidates to join the research team of Dr. Gaurav Rattan. The positions are funded by the NWO VIDI project Learning on Graphs: Symmetry Meets Structure (LOGSMS
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2026. The topics of the PhD project will include: inequalities in health and health care; effects of diverse interactions on diversity-related preferences and on performance (and respective mechanisms
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generation of sustainable protein crops and advancing the national protein transition. Your duties and responsibilities include: PhD1: Aardaker Physiology & Genetics Design and conduct experiments
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PhD Candidate on The Future of Mixed Methods Research /Junior Lecturer in Methodology and Statistics
to support researchers in opening their mixed methods pipelines Design methods mixed methods guidance to integrate natural language processing, computational data and traditional qualitative data to future