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in international research visits if needed. We are looking for a highly motivated researcher with: A PhD in machine learning, computer vision, remote sensing, glaciology, climate science, or a related
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Vacancies Post-Doc position: Knowledge for decision making on coastal sand nourishments Key takeaways This research position is part of the NWO-funded SOURCE program: Sand nOURisment strategies
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. Our group focuses on understanding molecular mechanisms and metabolic signatures in Alzheimer’s disease (AD) through computational and systems biology approaches. The postdoctoral researcher will lead
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Application Deadline 2 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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supervise technical staff if necessary. Basic requirements of the position: Qualifications required: The candidate must have a PhD related to Biomedicine or Health Sciences obtained someday between January 1
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innovations, and connect their work to the broader community. This unique program is open to all current PhD students at Tandon School of Engineering who will defend their dissertations by September 1, 2026
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systems/fabrication Biomedical computation/modeling Biomolecular and cellular engineering Biomaterials Tissue/regenerative engineering Neuroengineering Systems biology Cardiovascular engineering These
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new methods to detect and understand this disease Travel to different medical centres as needed About you We're looking for someone with: A PhD (or nearly completed) in bioinformatics, computational
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skills: PhD in biological or biomedical sciences; strong experience in molecular and cell biology, genomic analysis, and 3D organoid culture; proficiency in bioinformatics pipelines and functional assays
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CNRS – Inserm – Aix Marseille University | Marseille, Provence Alpes Cote d Azur | France | about 18 hours ago
immunity. Requirements: A PhD in immunology, microbiology, or a related field. Strong background in B cell biology, adaptive immunity, or infectious disease models. Experience with mouse models, flow