301 phd-rehabilitation-engineering-computer-science Postdoctoral positions at Nature Careers
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to the EnerTEF project. Is Your profile described below? Are you our future colleague? Apply now! Education PhD’s degree in electrical engineering, computer science, energy systems, or a related discipline
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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics
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The Department of Biotechnology and Food Science, Institute of Computational Biology is currently seeking a Postdoctoral Research Associate (Reference code 216) Extent of employment: 40 hours per
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hold a PhD in physics, but other fields within the natural sciences may be considered for applicants with a strong profile on the points listed below. Experience with experiments based on femtosecond
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integrates, develops, and disseminates knowledge of farm animal management and relationships between actors and animals. Researchers in the section teach BSc, MSc and PhDs in animal and veterinary science
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hold a PhD in bioacoustics, engineering, physics or neuroethology, or similar. Experience with trained bats and toothed whales and handling or tagging of wild conspecifics is an advantage. You must have
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
collaboration between the Department of Electrical and Computer Engineering and the Novo Nordisk Foundation CO2 research center, Aarhus University, we aim to address this opportunity by developing digital twins
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and research technicians YOUR QUALIFICATIONS Completed university degree and PhD in the field of physics or chemistry Ability to work in the team and at the interdisciplinary level Proficiency in spoken
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: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related discipline Strong experience in integrating several of the following
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PhD Degree in a relevant scientific field (e.g. computer science, data science, mathematics, engineering, or related); Strong understanding of generative models (e.g., VAEs, GANs, transformer-based