1,575 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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records of research excellence and academic leadership. In addition to pursuing a vibrant research program an appointee will be expected to engage in effective teaching at the undergraduate and graduate
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considered for candidates with exceptional records of research excellence and academic leadership. In addition to pursuing a vibrant research program, an appointee will be expected to engage in effective
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Tenure Track in Sensory and Consumer Science at Department of Food Science, Aarhus University, De...
strategy and working environment is viewed as important. The Department is responsible for a Master’s programme in Molecular Nutrition and Food Technology, taught at AU, Denmark, and a Master’s programme in
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applications from candidates of all expertise, gender identities, nationalities, and cultural backgrounds. Submission: Application website: https://forms.gle/vgMfHSzd7FRSJXg89 Application deadline: Monday, April
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Cell Biol 160, 223–251 (2023). https://doi.org/10.1007/s00418-023-02209-1 Virshup, I., Bredikhin, D., Heumos, L. et al. The scverse project provides a computational ecosystem for single-cell omics data
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Job Description Title: Associate or Senior Editor, Nature Computational Science Organization: Nature Portfolio Location: Shanghai, Beijing, New York or New Jersey - Hybrid Working Model Closing date
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Work group: Institute of Materials Physics Area of research: Scientific / postdoctoral posts Starting date: 09.12.2025 Job description: Scientist (Postdoc) as research software engineer Referenzcode
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profile PhD in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related fieldStrong research track record, preferably with publications in leading AI and Computer Vision
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning