286 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Nature Careers
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with clinical teams. Submit C.V., letter of interest, and references in your application submission to: Sarat Chandarlapaty, MD, PhD QadirS@mskcc.org Learn more about working as a Post-Doctoral at MSK
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of Europe’s leading life science hubs. Both positions may transition into permanent research appointments, depending on scientific vision and contribution. The position offers a minimal annual salary of
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program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. Your role will be to lead a research project
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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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at the earliest date possible. Job Description: Innovative cultivation and extraction of marine microorganisms Investigating their chemical capacity by comparative genomics and metabolomics (computational
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extraction of marine microorganisms Investigating their chemical capacity by comparative genomics and metabolomics (computational untargeted metabolomics using LC-MS/MS-based molecular networks) Fractionation
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trainees are able to learn from clinical and basic science investigators who work in close proximity and interact regularly to translate scientific discoveries into improved therapies for children. If you
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, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site
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observations, and remote sensing data to assess the impact of global change on ecosystem productivity and sustainability. You will develop novel algorithms to integrate data-driven machine learning and process