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, bio(medical) informatics or computational biology, or similar background profound hands-on experience in using confocal and lightsheet microscopy, professional software packages for bioimage processing
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the University and its Medical Center, the three Max Planck Institutes in the Life Sciences, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | 7 days ago
of experience with image analysis and the analysis of large datasets using Python and its data science stack (Pandas, Dask). Experience in image analysis using Deep Learning methodologies would be desirable
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processing, 3D scene reconstruction and analysis for digital and immersive media as well as medical technology and industrial applications. Become a part of our team and join us on our journey of research and
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learning models Analysis and preprocessing of different data types, mostly medical data Applied science in exciting projects Preparation of presentations Review of relevant literature and data Testing
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research Job-ID: V000012920 Field of application: Heidelberg Institute of Global Health Location: Heidelberg Start date: as of now Job Category: Science and teaching Working hours: full-/ part-time (75-100
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PhD in plant science, crop science, biology, or related field. You have experience growing, managing, and phenotyping plants in the field and greenhouse. You have experience using modern approaches in
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4 Jun 2024 Job Information Organisation/Company Academic Europe Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 30
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3 Jun 2024 Job Information Organisation/Company Universitaet zu Luebeck Department Institute of Virology and Cell Biology Research Field Biological sciences » Other Medical sciences » Health
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members Your profile Doctoral degree in Statistics, Mathematics, Data Science, Computer Science or a related field with a strong background in Statistics Hands-on experience in Statistical Modelling and/or