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(Groningen), and the UK. This post-doc project offers a unique opportunity to work in an international environment and to acquire valuable research experience for someone who has recently completed a PhD in
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the supervision of PhD candidates and we encourage pursuing publishing and attracting research funding beyond the involvement in this particular project. In short, we try to accommodate the development of your own
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challenges in rural areas. It is specifically targeted towards hard-to-reach populations, and aims to incorporate novel methodological advances to improve our understanding of these processes and point towards
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are exigently demanded to coat graphite crucibles and susceptors for bulk SiC crystal and epitaxial SiC film growth processes for supplying wide bandgap materials in the fast growing market of semiconductor power
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and various Nobel prize winners. Qualifications We are seeking a candidate with a PhD in Bioinformatics, Machine learning and AI-based statistics, Computational Biology, and expertise in Analytical
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or genetics are organized in two focal areas: ‘Molecular Mechanisms of Biological Processes’ and ‘Physiology and Systems Biology’. Qualifications Who The ideal candidates must be highly motivated, hard-working
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populations, and aims to incorporate novel methodological advances to improve our understanding of these processes and point towards potential interventions. EQUICARES is a four year EU Horizon project
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of the planning and implementation processes with emerging energy technologies. You will develop and execute trainings and workshops for practitioners based on theories in Environmental psychology and empirical
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well as limited ad-hoc student supervision. Finally, we will explore the possibility to involve the postdoctoral researcher in the supervision of PhD candidates and we encourage pursuing publishing and attracting
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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