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of human embryonic development, especially regarding the emergence of the body plan. Research in the Developmental Models laboratory aims to uncover the principles of human development using cutting-edge in
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in the design, nanofabrication, and characterisation of silicon metasurfaces is highly desirable, together with an aptitude for developing new experimental techniques related to this exciting research
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, pharmacophore modelling, and molecular dynamics simulations to design novel GPR84 ligands with predictable signalling bias profiles. About the person: The successful candidate must have, and your application
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HPLC Experience of formulation science Experience on the design and manufacture of solid drug nanoparticles (nanocrystals/nanosuspensions) To be successful at shortlisting stage, please ensure you
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signaling mechanisms that enable adaptation to extreme environments, including underwater conditions. The fellow will be responsible for developing a hypothesis‑driven research plan that outlines materials
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 9 hours ago
of liver injury cases using clinical trial data. Learning Objectives: Under the guidance of a mentor, You will learn about regulatory science, clinical trial design, and safety analysis. You will collaborate
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hearing loss through data-driven policy, service innovation, and community-based interventions. You will work closely with leading researchers and partners to generate evidence that informs policy, practice
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, and in vivo electrophysiology. The successful candidate will be responsible for designing and executing animal experiments and analyzing multimodal biological data. Basic Qualifications Ph.D. in a
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health data. The successful candidate will play a central role in designing and implementing AI models, federated learning workflows, and computational pipelines, with opportunities to contribute to high
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. Modeling dynamical systems Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods