1,363 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" positions at Nature Careers
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, ATAC-seq, CUT&RUN, MERFISH, Visium), epigenomic data processing (chromatin accessibility, histone marks, enhancer mapping), multi-omics integration using Seurat, Signac, Harmony, ArchR or Scanpy, machine
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or plasmapheresis machines Experience in a blood donor center or plasma center Job Responsibilities: Collaborate with internal/ external teams to coordinate and execute assigned tasks (e.g., processing, evaluation
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or plasmapheresis machines Experience in a blood donor center or plasma center Job Responsibilities: Independently perform and report pre-analytic and post-analytic activities for waived testing. Resolve donor
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or car free use of Nextbike from the Buch S-Bahn station to the campus subsidy for the job ticket, as well as discounts in the campus canteen on-campus health and fitness center additional health benefits
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holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electrical Car Scheme Why work for EIT: At the Ellison Institute, we believe a
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proficiency in MS software and end-user proficiency in CMMS software. Working knowledge with computer maintenance management systems (CMMS)s, preferred. Working knowledge of building automation systems (BAS)s
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that promote and maintain malignancy, evaluating novel selective dependencies and resolving the mechanisms governing dependency, and application of machine learning, artificial intelligence, and other advanced
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beginning Fall 2026. This is a three-year, multi-year appointment with responsibilities in teaching. Responsibilities: Teach Introductory Neuroscience with laboratory and intermediate- and upper-level courses
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Context and Motivation Bilevel optimization problems, in which one optimization problem is nested within another, arise in a wide range of machine learning settings. Typical examples include
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, biobanks, electronic health records); A sound understanding of Statistical and Machine Learning concepts, particularly in relation to genomics; Prior experience working with multiple data sources and