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Two postdoc positions on the ecology and physiology of microbial key players exposed to oxygen de...
and energetic constrains ammonia-oxidizing and methane-oxidizing microbes exhibit under oxygen depletion (and while producing oxygen) including single cell activity assays. Applicants should have a PhD
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activities across the center. Requirements: The ideal candidate possesses one or more of the following competencies and skills: PhD or an equivalent degree in chemistry, food chemistry, biochemistry or in a
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, modeling of topological superconductors, protocols for observation of nonlocal quantum information storage, topological effect in open system, or next generation superconducting qubits using hybrid materials
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Denmark’s distinctively rich registry data, exploring a range of life outcomes throughout early development on the full Danish population (including on crucial subsets such as adoptees). We seek to use
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Postdoctoral position in mathematical modelling of cognitive processes to be filled by 1 September 2025 or as soon as possible thereafter. The position is for 2 years. Information about CoInAct can be found
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). Detailed Curriculum Vitae, describing research, publication and teaching experience, computational skills and including personal contact information. Verified copy of the official Master's and PhD degree
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for computational biology and a track record of excellence in graph machine learning and multi-omics data integration? Look no further – an exciting Postdoc opportunity awaits you at the Novo Nordisk
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formal qualification, you must hold a PhD degree (or equivalent) in the area of microbiology/biotechnology. As you will join a very well-functioning and collaborative project group you must thrive
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facilities in imaging, immunology, tissue engineering, and bioinformatics. Qualifications We seek applicants with the following qualifications: Essential: PhD in molecular biology, immunology, biochemistry
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contribute to development of research grant applications. Your profile The applicants should hold a PhD in structural dynamics with focus on data-driven methods (e.g., for input/state/parameter estimation) and