56 wireless-sensor-networks-postdoc Postdoctoral positions at Nature Careers in Denmark
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project partners from DTU Energy, and the experimental efforts are supported by project partners from European XFEL. Responsibilities and qualifications This Postdoc position is ideal for a person with
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in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 1 October 2025 (23:59 Danish time). Apply at: Postdoc in Hybrid
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The laboratory of Per Svenningsen, Cardiovascular and Renal Research Unit , Department of Molecular Medicine, is seeking a postdoc to work on proteinuric kidney disease and liver metabolism
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the following three postdoc positions: Position 1.Postdoc in Carbon Capture System Design, Operation, and Test We are looking for a postdoctoral researcher to lead the design, commissioning, and operation of a
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The laboratory of Ulf Ørom, Distinguished Senior Innovator, Department of Molecular Biology, Aarhus University, Denmark, invites applications for a full-time postdoc position offering applicants
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The Department of Food Science, Aarhus University (Denmark), invites applications for a 36-month postdoc position to work the physical chemistry of food proteins, in particular their structure
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The Department of Biology at the University of Southern Denmark invites applications for a postdoctoral researcher in aquatic microbial ecology and biogeochemistry associated to the ERC Synergy project RECLESS (Recycling versus loss in the marine nitrogen cycle: controls, feedbacks, and the...
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at iNANO invites you to apply for a Postdoc position funded by the Novo Nordisk Foundation (initially 2 years, extendable to 4 years). Job description The position aims at developing new computational tools
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invites applications for a one-year postdoc position, focusing on protein biology involved in the energy metabolism of neuronal synapses. The candidate is expected to use cutting-edge proteomics and super
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence