893 computational-physics-"https:"-"https:"-"https:"-"https:"-"IFM" positions at Nature Careers
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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Physics/Astronomy and Astrophysics/Space Science and/or in a relevant field. A minimum of fourteen years’ post-doctoral experience. Desirable: Demonstrated leadership and broad vision in the field
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), Mechanistic / Process-based modeling of biodiversity interactions in cropping systems (CP6). Though preference will be given to excellent candidates who contribute significantly to CP1, CP5, or CP6
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proposed research program for the next 3-5 years, and (4) contact information for three references. Review of applications will begin 01 March 2026 and will continue until the positions are filled.
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technologies Preparing and supporting patent application documents Performing physics-based simulations to support process and device development Develop new application cases and proof-of-concept demonstrations
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Postdoctoral Research Associate - Basic and Translational Research Training in Pediatric Classical H
-malignant blood diseases, such as sickle cell disease, bone marrow failure syndromes, and myeloproliferative disorders. This premier NHLBI-sponsored T32 training program leverages the exceptional research
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Postdoctoral Research Associate- Training in the Design & Development of Infectious Disease Therapeu
St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in infectious disease therapeutics. This NIH sponsored training program has been designed to leverage the outstanding
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research project during the fellow ship period This two-year program provides fellow s with the opportunity to work directly with some of the world's most noted researchers and clinical faculty. Fellow s may
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to ongoing and related projects as needed; Contributing to the Centre’s training program by teaching workshops or tutorials in machine learning, generative models, or data science methods; Engaging with public
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develop an innovative, dynamic research program. We aim to attract candidates with diverse backgrounds whose research aligns with the missions of the Department of Neurology and the Ragon Institute