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, computational biology, or bioengineering with a focus on image analysis. Proven experience with image processing software and techniques. Background in plant biology and physiology, especially related to stress
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prior surgery experience and optical imaging experience is preferred. However, any qualified individual with the tenacity and willingness to learn and take on a complex project would be favorably
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surgery. Ideal candidates will have: A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar field. Proficiency in deep learning and exceptional
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full-time, fixed-term position for a duration of two years. The role is based within the Department of Computer and Information Sciences at Northumbria University, located in Newcastle upon Tyne. About
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, working at the interface between plankton ecology and computer sciences. The postdoc will work in strong connection with the GreenOwl team of Inria (National Institute for Research in Digital Science and
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6 Sep 2025 Job Information Organisation/Company CNRS Department PHysicochimie des Electrolytes et Nanosystèmes InterfaciauX Research Field Chemistry » Physical chemistry Chemistry » Computational
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 6 days ago
writing and presentation skills Background in neuropathology and/or neuroinflammation (highly desirable) Familiarity with spatial biology techniques such as spatial transcriptomics and multiplex imaging
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Description Job Responsibilities: -Conducts research activities on insect midgut biology in arthropod systems in contained laboratory environment. -Design and perform proteomic, transcriptomic, imaging and
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 3 hours ago
5 Sep 2025 Job Information Organisation/Company Swiss Federal Institute for Forest, Snow and Landscape Research WSL Research Field Computer science » Other Environmental science » Earth science
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA