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Training Group (RTG) “Activation of anti-Microbial Effectors (ACME)” (coordinator: Dirk Schlüter, Hannover) funded by the German Research Foundation. The central aim of the program is to give highly
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from experimental systems biology assays (PMID:36217030 [Nature Biotechnology 2024 & 2023 [Journal Cover]), artificial intelligence (PMID:35411337 [Nature Machine Intelligence 2022]), genomics and
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interdisciplinary team at the Technische Universität Dresden, focusing on the integration of multi-omics data to better understand, diagnose, and treat metabolic diseases (i.e. obesity, diabetes, metabolic
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on Treaty 6 territory, and respects the histories, languages and cultures of First Nations, Metis, Inuit and all FirstPeoples of Canada, whose presence continues to enrich our vibrant community
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Gastroenterology, Cancer Cell, PNAS, JAMA Oncology, JNCI, Clinical Cancer Research, Nature Communications, Nature Reviews Gastroenterology and Hepatology, Annals of Surgery, etc. If you are passionate about some of
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, gynecology, psychiatry, or surgery; and have an active, unrestricted US medical license. Eligible associated health professionals must be a US citizen; demonstrate interest in pursuing a VA career with women’s
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single-cell omics in human and mouse systems to understand how mito-SEPs regulate cellular processes related to energy production. The lab is recruiting motivated postdoctoral fellows to lead new projects
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, natural sciences, computing, informatics and computer science. A PhD (or near to completion) or equivalent experience in Biological or Biomedical sciences, Immunology or Bioinformatics High level analytical
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language, with a strong preference for Python. Desirable criteria: Additional experience in machine learning, statistical learning theory or related fields Fluency in relevant models, techniques or methods
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journals. Have experience in: (i) integrating single-cell and spatial multi-omics; (ii) computational programming in R, Python (and other common computer languages); (iii) competence/interest in analysing