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in computational analysis or wet-lab experimentation are encouraged to apply. Position Requirements A Ph.D. in Immunology, Bioinformatics or Quantitative Biology/ Computer Science/Mathematics/Physics
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We are offering a PhD fellowship in “Agentic AI and Foundation Models for Global Pathogen Analysis” commencing September 1st, 2026, or as soon as possible thereafter. Our group and research
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Bourgogne (Dijon), to develop and apply mathematical results to better understand the diversity of your corpus and interpret this diversity in terms of networks, thereby shedding light on the circulation
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will work with researchers in environmental geo-spatial AI method development, soil modelling and spatial statistics. Where to apply Website https://www.academictransfer.com/en/jobs/362722/phd-position
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | about 2 months ago
quantitative image analysis Experience with protein biochemistry or protein interaction assays Familiarity with transcriptional regulation, chromatin biology, cancer biology, or higher-order protein assemblies
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that support both organizational objectives and employee needs. The position includes the collection and analysis of qualitative and quantitative data, publication of scientific findings in international
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
other departments of the faculty of aerospace engineering. This PhD position is part of the Dutch Aviation Systems Analysis Lab (DASAL project, a flagship collaboration between TU Delft and Royal NLR
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model outputs to their source documents Contribute to the design and analysis of simulation-based reader evaluations together with clinical partners Publish results at leading venues and present
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. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? The AI Readiness and Assessment (AIRA) research group at LIST is seeking a highly motivated
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applications in different project contexts. This may include data analysis, modelling, literature reviews, and interaction with relevant stakeholders. The results are expected to contribute increased knowledge