312 assistant-professor-computer-science-and-data Postdoctoral positions at Nature Careers
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. Contact information For further information, please contact: Associate Professor, Magnus Kjærgaard, magnus@mbg.au.dk Deadline Applications must be received no later than 1 June 2025. Application procedure
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can read more about career paths at DTU here . Further information Further information may be obtained from Associate Professor Leticia Hosta-Rigau, email: leri@dtu.dk . You can read more about DTU
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protocols for data format and sharing. Dissemination of the research results. Qualifications: Candidates should have a PhD degree in experimental physics, chemistry, materials science or equivalent. The core
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we bridge concepts from molecular biology, computational data science, mechanobiology, pharmacology and translational medicine. Trainees will have access to the deep technical expertise in the lab and
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writing and publishing scientific papers. Further information For further information please contact Professor Thomas Emil Andersen email: thandersen@health.sdu.dk , phone: +45 21261634 or Head of
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, WES/WGS, targeted NGS, DigiWest), a broad spectrum of molecular and cellular biology techniques, biochemistry and biophysics, computational drug repurposing, and de novo design of novel protein-based
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Postdoctoral Research Associate - Basic and Translational Research Training in Pediatric Classical H
the program represent seven basic science and clinical departments across the institution. These faculty are leaders in their respective fields with expertise in basic and translational research in pediatric
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carried out in the laboratory of Associate Professor Sara Wilson located at the Department of Medical and Translational Biology (MBT), Umeå University, Sweden (see lab web page ). MBT is an
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
, mathematics, and data science. Collaborative projects merge traditional geographic research with advanced computational methods such as graph neural networks (GNNs) and large language models (LLMs) to explore
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researchers to analyze gene expression patterns within intact tissue architectures. By preserving the spatial information of RNA molecules in biological samples, this technology provides insights into gene