265 computer-science-image-processing-"University-of-Iowa" Postdoctoral positions in Germany
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 1 day ago
fellows and project-based postdocs (listed below). The successful candidate(s) will be hosted by the Atmospheric Physics of Exoplanets (APEx) Department and take part in the Max Planck Postdoc Program . The
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, biomechanics, single cell-analyses, advanced imaging, and animal models. Tasks: to actively pursue the proposed project with the aim of characterizing the molecular, biomechanical and functional mechanisms
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. The Climate Economics and Policy Department of PIK, located at EUREF Campus in Berlin-Schöneberg, is offering a Postdoc position in “Economics“ (m/f/d) on mechanism design for global public good provision
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: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics). For Postdoc applicants: Excellent track record in computer science
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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The research group of Prof. Dr. Michael Mastalerz at the Institute of Organic Chemistry, Heidelberg University is seeking the following temporary full-time position from November 1st 2025 or later
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neurobiology; have previous experience with optical imaging of neuronal activity or mouse stereotactic surgery or in vivo electrophysiology or advanced data analysis; are fluent in English. We offer
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 3 months ago
develop our state-of-the-art imaging systems by optimizing the hardware and integrating real-time data processing and analysis through machine learning techniques to achieve precise characterization
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VOICES is a multidisciplinary project in history, computer science, and engineering that studies testimonies of Holocaust survivors. For this, it uses computational technology (specifically
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engineering methods (e.g., via CRISPR). Plan and execute experiments to probe robustness of tissue morphogenesis, particularly through quantitative imaging and large-scale molecular profiling (e.g., via scRNA