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design using computational methods Organic synthesis MD simulations Knowledge of a scripting language The candidate must demonstrate a structured approach to work, a strong commitment for hit discovery and
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. This position is best suited for candidates with a strong background in computational material science. The role reports to Associate Professor Patrick Burr and has no direct reports. Salary (Level A) – AUD
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, and publish high-impact research. Engage with industry and government, contributing to governance and promoting inclusion and diversity. About you PhD qualification in Computer Science, Data Science
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Citizenship Canadian Permanent Resident International Degree Level Doctoral The Google PhD Fellowship Program was created to recognize outstanding PhD graduate students doing exceptional work in computer
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experiments of a synthetic system. These droplets are found in a wide range of cellular processes and play a role in infections, cancer and diseases. The PhD work will involve theoretical and computational
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Memorial Sloan-Kettering Cancer Center | New York City, New York | United States | about 2 months ago
to translate across immune-refractory tumors--our program fuses immunocompetent mouse models, patient-derived organoids, single-cell / spatial multi-omics, and CRISPR-based functional genomics. You will drive
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Job Offer from May 12, 2025 The Department of Coevolution of Land Use and Urbanization, Max Planck Institute of Geoanthropology, Jena, Germany is pleased to announce a new vacancy for two PhD
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for databehandling: Cloudflare - Personvernregler for databehandling Utløpsdato: Session Navn: _cfuvid Leverandør: .hsforms.com Databehandlingsansvarlig: Formål: Saves the selected language for the website. Utløpsdato
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at Harvard University invites applications for a Postdoctoral Fellow position to start in Fall 2025. The lab conducts research related to identity processes, language, group dynamics, and political psychology
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Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS