34 physics-engineer-"https:"-"https:" Postdoctoral positions at Nature Careers in Denmark
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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Postdoc position within antibody engineering and therapy in Parkinson’s Disease We are seeking applicants for a 2-year postdoctoral position in Daniel Otzen’s research group at iNANO. This is a fix
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the project RIBOTICS (RNA Origami Technology in Cell Systems) funded by an Advanced Grant from the European Research Council (ERC). The intended starting date is 01st September 2026 or as soon as possible
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. The postdoctoral researcher will collaborate closely with an engineering team responsible for process integration and prototype development Expected start date and duration of employment This is a 2.5–year position
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degree in Physics, Chemistry, Chemical Engineering or Materials Science and a profound experience/insight in catalysis. Here it is absolute mandatory that the candidate has extensive experience with
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candidates with a degree in physics, chemistry or materials science. For Topic 1-3, candidates must have documented skills in atomic-resolution electron microscopy, microfabricated devices, 2D materials
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combining field campaigns, laboratory analyses, and novel geophysical techniques. Who are you? You have a background in physics, engineering, geoscience or other related natural sciences. You hold a PhD in
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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scale DNA libraries with generative synthesis models, translating in silico predictions into physical gene libraries for experimental testing. Building and evaluating probabilistic deep learning models
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Two postdoctoral positions (3-year) in Experimental Evolution of Methanogenic Microbiomes in Bioe...
project at the interface of directed experimental evolution, microbial ecology, and bioelectrochemical engineering. The project combines laboratory evolution approaches with omics-based analysis