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2-yr postdoc on Forecasting Biosphere-Scale Effects of Ecological Novelty Using Species Distribut...
team members, including students. This collaboration involves sharing skills and contributing to problem-solving within the postdoc’s area of expertise. Your profile Applicants must have a PhD degree in
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ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing (with long reads) data. The candidate will get the opportunity to explore new analysis methods using deep learning
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glioblastoma models will be a plus. The candidate will be placed within CITCO, at the Department of Clinical Immunology, which consists of several postdocs, PhD students and master students from different
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inversion of FEM and TEM data of variable spatial density and sensitivity. The work will build on a recently developed EM forward operator, with the opportunity to design and implement the inversion engine
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presentations. Your profile Applicants should hold a PhD in mechanical or process engineering or similar. The selected applicant must have a high level of expertise and experience in CFD, specifically in using
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carrier and its various transport transitions stochastically. The PhD student will join the LUMIN team that is pushing the boundaries of luminescence physics. The researcher will collaborate with other team
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Postdoctoral researcher position at the Department of Animal and Veterinary Sciences, Aarhus Univ...
knowledge of farm animal management and the relationships between actors and animals. Researchers in the section teach BSc, MSc and PhDs in our animal and veterinary science programmes and conduct research
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, and nanomedicine. The postdoctoral researcher will collaborate closely with a PhD student and other younger students, contributing to a dynamic and supportive research environment. The candidate will
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collaborate with PhD and other post doctoral fellows, in cross-disciplinary collaborations with other research groups both national and international as well as with industrial partners. Qualifications A PhD
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combination of robotics-assisted experiments and data mining in our 30 years of legacy data regarding the safety, metabolomics, and physiology of the strains. The UPCYFUN project is a unique opportunity for you