1,677 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" positions at Nature Careers
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, or related field of study required. Master's degree preferred. Minimum Experience 6+ years of accounting experience, including work with general ledger systems and/or related financial information systems
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achievement (at least in the field of civil and commercial law) Excellent computer skills (MS-Office) Experience in working with legal databases Very good written and spoken German language skills Very good
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Differentiate iPSCs into midbrain dopaminergic neurons and organoids for phenotyping and compound testing High content imaging and automated image-analysis Analyze omics data Collaborate closely with
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the following document(s): A letter of motivation describing your interests, experience and motivation to join the team A curriculum vitae including a list of publications Contact information for two references
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excellent writing and communication skills, able to work independently but also effectively with other lab members. Please include the following information with your Resume/CV: Cover letter briefly
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Medical Center, the Herbert Irving Comprehensive Cancer Center, the Irving Institute for Cancer Dynamics, the New York Structural Biology Center, the New York Genome Center, and the Columbia Data Science
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initiatives at the interface of biology, AI, engineering and medicine. You will be part of a collaborative and forward-thinking team, contributing to the MDC’s vision of advancing human health through data
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experiments, observational studies, data synthesis and modeling. We focus on mutualistic and antagonistic interactions of insects and spiders with other organisms, and are particularly interested in temporal
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to applicants who have received their Ph.D. degrees in neuroscience or related fields within the last 3 years and have experience in imaging in vivo. Skills in computational neuroscience and data mining using
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Chief Physician with professorial rank within the Internal Medicine Service - Department of Medicine
programs funded by competitively awarded grants. Good knowledge of French (native speaker or C1 level preferred) or ability to acquire it quickly. Further information may be obtained from Prof. Peter