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.), Physics I (particle, nuclear, astrophysics, etc.), Physics II ( condensed matter, etc.), Chemistry, Biology (cell biology, developmental biology, plant biology, structural biology, microbiology, imaging
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in our team. Learn more about us here: https://swa.cs.univie.ac.at/ . Your future tasks: You actively participate in research and administration, which means: You develop software engineering methods
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We seek a professor to strengthen the department’s research and education in Chemical Engineering Thermodynamics, with a particular focus on advanced thermodynamic models and a good knowledge of
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technology to real-world conservation challenges, working directly with data that informs habitat management and biodiversity protection. Expected start date and duration of employment This is a three year
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Permanent contract | Belvaux Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO
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Tenure Track in Sensory and Consumer Science at Department of Food Science, Aarhus University, De...
aligned to the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science- teams/food-quality-perception-society/. The Science Team
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Job Title: Associate or Senior Editor, Nature Mechanical Engineering Location: Shanghai, Beijing, Milan or Madrid - Hybrid Working Model Closing date: 1st March, 2026 About Springer Nature Springer
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At TUD Dresden University of Technology the Faculty of Environmental Sciences is looking for a Research Associate to work together in a larger project consortium with German partners (Chairs
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Aarhus University is seeking two postdoctoral fellows for the Novo Nordisk Foundation CO2 Researc...
fluxes and quantitative modeling thereof. It also includes the isolation of new alkalophilic and hydrogenotrophic methanogens and acetogens, as well as Knallgas bacteria, the construction and quantitative
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https