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fidelity. In this PhD, you will help develop these next-generation tools. We are seeking a highly motivated PhD candidate to strengthen our research. Your research will focus on the development of numerical
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institute, with expertise in a wide range of fields and strong communities of knowledge. We deliver research and innovation in energy, health care, climate, the environment, society and technology. Our
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opportunity to make a significant impact on the environment. By joining our collaborative project with SINTEF and the aluminium industry in Norway and Sweden, you will play a crucial role in reducing CO2
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 14 days ago
PMID33762348 , PMID30224749 and PMID32743075 . Requirements M.Sc. degree in molecular-, cell-, structural biology, computer science, digital image analysis or related fields that included minimum six months
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, PMID30224749 and PMID32743075 . Requirements M.Sc. degree in molecular-, cell-, structural biology, computer science, digital image analysis or related fields that included minimum six months long
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large-scale neural models of the early visual system. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience and strong deep learning
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environment at the University of Kassel. Its offers are open to all academics and artists in the qualification phase at the University of Kassel. Further training / transferable skills Kassel Graduate Programme
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Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Detailed Position Information The Department of Electrical and Computer
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Wolfe. Job Duties: • Design, develop, and conduct manufacturing experiments for a wide range of materials comprised of nanocomposite and multilayer/nanolayer coatings for a variety of applications in
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public organisations operate and coordinate themselves and their relations with private parties in the construction industry. This PhD project aims to experiment with unique shared service centres