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Field
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also why they matter. During your PhD, you will: perform large-scale potato experiments using 100 contrasting soil microbiomes; use automated high-throughput phenotyping to quantify plant growth
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models that combine anatomical and hemodynamic information derived from routine clinical imaging. By providing quantitative insights into coronary anatomy, blood flow, pressure, and wall shear stress
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architectures for foundation models The work will combine methodological development with large-scale experiments, aiming for contributions at leading machine learning and computer vision venues such as NeurIPS
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Job description We invite applications for a fully funded PhD position in the area of Scientific Machine Learning (SciML), which integrates data-driven machine learning techniques with established
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and immune cell subsets. Your research contributes to a large longitudinal lifestyle intervention study involving clinicians, translational researchers and data scientists. Working closely with a
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, Econometrics, and Equilibrium, Expectations & Dynamics (CeNDEF). Find more information … Where to apply Website https://www.academictransfer.com/en/jobs/363541/phd-candidate-in-aidriven-flood… Requirements
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of sleep and physical activity linked to clinical and genomic data. Applicants should hold, or be close to completion of a DPhil/PhD in population health or a closely related field. Possess sufficient
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You will join PREFERENCE, an international Marie Skłodowska-Curie doctoral network dedicated to advancing large axial field of view (LAFOV) PET/CT imaging. PREFERENCE brings together 12 academic
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9 Sep 2026 Job Information Organisation/Company Geological Survey of Denmark and Greenland (GEUS) Research Field Geosciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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project focuses on developing probabilistic latent-variable methods for large and structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High