667 data-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Nature Careers
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(e.g. R, Python) and an ability to work with large datasets Strong record of peer-reviewed publications Ability to independently design and execute experiments and interpret data Ability to work in a
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, agricultural sciences, social sciences, and data science and further develop this expertise in the context of living lab research. The new organizational unit will also cooperate closely with ZALF's existing
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Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race
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unit (UMR 7248) from UCA and CNRS. Abstract Optical flow estimation is a key task in computer vision, particularly critical for autonomous navigation where accurate motion perception is essential. It can
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state-of-the-art approaches, including next-generation sequencing, functional genetic screens, and transgenic model systems. Further information is available on our homepage and via our publications in
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links to representative publications on PubMed) Summary of your current research and key accomplishments Names and contact information of three references We welcome applicants from diverse backgrounds
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. Data protection Application deadline: 02/27/2026 Prae Doc
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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
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
and fastest-growing fishery in the Southern Ocean, regulated by the CCAMLR, which aims to manage the fishery sustainably, relying on ecosystem-based approaches incorporating data on predator populations