93 parallel-computing-numerical-methods Postdoctoral positions in Ireland-University-Ranking-2024 in Denmark
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instruments, with data obtained with DNA methods and data obtained with a Hirst trap. • Numerical models used by the group covers the particle dispersion model HYSPLIT in combination and the numerical models
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in high-quality scientific outlets. Your daily work will typically involve a combination of independent research and collaboration in project teams, where you help develop concepts, methods and
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scientific outlets. Your daily work will typically involve a combination of independent research and collaboration in project teams, where you help develop concepts, methods and solutions that are relevant
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in high-quality scientific outlets. Your daily work will typically involve a combination of independent research and collaboration in project teams, where you help develop concepts, methods and
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ability to conduct independent scientific research Strong methodological competence in qualitative or ethnographic research methods a track record or clear potential for publishing in international peer
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interdisciplinary project funded by the Danish Energy Technology Development and Demonstration Programme (EUDP) and has a strong focus towards commercialization the resulting battery. Your competencies Appointment as
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of adipogenesis Experience with chromatin conformation methods (e.g., Hi-C, Micro-C or related approaches) Experience with genome-wide and chromatin architecture-related techniques (e.g., sequencing-based assays
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Postdoc position in Human-Centred Artificial Intelligence The Department of Computer Science at Aalborg University invites applications for a postdoc position working with Professor Niels van Berkel
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an initial 3–6 months period in the lab at its currentlocation in New York City. This temporary placement will provide an opportunity to receive hands-on training in the methods important for the research
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, extract, and standardise functional information 2. Develop computational tools that integrate evolutionary and functional information using comparative genomics and deep learning approaches 3. Apply