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Field
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experience with PyTorch. Ideally, knowledge in computer vision and object detection/segmentation. Motivation to independently delve into new and current research topics. Willingness to work with erotic
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Max Planck Institute for Biological Intelligence (Seewiesen site), Seewiesen | Germany | 2 months ago
of Göttingen, the Avian Sleep research group at MPI-BI seeks to hire a Research Assistant – Neuroethology (m/f/d) with strong computational skills and an interest in whole-brain imaging. Who we are From
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27 Mar 2026 Job Information Organisation/Company Christian-Albrechts-Universitaet zu Kiel Department Medical Faculty Research Field Chemistry » Biochemistry Biological sciences » Biology Researcher
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, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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engineering, computer science or a comparable subject You have good experience in Python You have basic knowledge of the theory and methods in machine learning Good language skills in German and/or English What
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scenarios. Develop and maintain production-quality software (primarily Python) to enable AI-assisted research processes across computational biology. Prototype, benchmark, and iteratively improve agentic
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imaging. Your Profile: * Master's degree in Computer Science, Electrical and Computer Engineering, Mathematics, Physics, or a related field * Strong background in mathematical and computational sciences
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and an inviting sports programme at discounted rates. Selection process Interested candidates should send an application, including a cover letter, CV, references, and copies of degree certificates in a
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, Excel, PowerPoint) Adobe Illustrator and Photoshop or similar image processing software Basic knowledge and practical experience in the operation of high-resolution mass spectrometers (preferably Orbitrap
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analysis under Linux and Windows (file systems such as ext[234]/NTFS/FAT) Detection of image/video manipulations (e.g., deepfakes) using deep learning classifiers and traditional multimedia forensics Robust