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collaboration with PI Associate Professor Mette Simonsen Abildgaard. Qualification Requirements • Applicants should hold a PhD in anthropology, STS, arctic studies, media studies or related fields
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qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We
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experience in electromicrobiology/MFC who are motivated to engage with complex anaerobic syntrophic systems are particularly encouraged to apply. Qualifications PhD in microbiology, bioelectrochemistry
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Job Description We are searching for a talented and motivated PostDoc to develop the theory of quantum light sources for applications in optical quantum computers. The project takes place in
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computational protein designs into validated therapeutic candidates. Your responsibilities will include: De novo design of minibinders Recombinant expression and purification of AI-designed minibinders (miBds
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level, e.g. in medical physics, physics, biomedical engineering or computer science. It is mandatory that your PhD degree is on a topic relevant for this specific position, e.g. in medical image-based
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energy system. Qualified applicants must have: PhD degree in physics, astronomy, engineering, computer science or similar. Experience with finite element modeling, ideally Comsol Multiphysics. Experience
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electrochemistry. Candidates must be familiar with catalysis for carrying out chemical transformations. Candidates must have a PhD in chemistry. Candidates are expected to have significant experience in flow cell
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Aarhus University is seeking two postdoctoral fellows for the Novo Nordisk Foundation CO2 Researc...
of defined microbial communities, and modeling on metabolic interactions. Your qualifications You should have a PhD in microbiology, molecular biology, molecular genetics, or related field, and
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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling