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Data Scientist II - Quantitative Biology, Multi-OMICs Integration, and AI/ML Modeling Med-Medicine - Pennsylvania-Pittsburgh - (26006440) The Pulmonary, Allergy, Critical Care, and Sleep Medicine
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, 2026. Applicant Resources https://www.uidaho.edu/human-resources/careers/applicant-resources Background Check Statement Applicants who are selected as final possible candidates must be able to pass a
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will work alongside a multidisciplinary team in the Molecular Neurodegeneration Research Group. For details check the lab website at: https://www.ndcn.ox.ac.uk/research/molecular-neurodegeneration
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the University's commitment to research excellence and innovation. About You Key Selection Criteria Experience in ecological modelling, biodiversity and restoration modelling, and/or hydrological
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fingerprint screening, verification of education credentials, and/or verification of prior employment. For more information about background checks, visit https://policy.unm.edu/university-policies/3000/3280
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Level 44 Salary Range $44,678-71,469/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information about equivalencies: https://hr.uky.edu/employment
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, large language models, fairness, equating, computerized adaptive testing, diagnostic classification models, automatic item generation, scale/test development), latent variable modeling approaches (e.g
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computational neuroscience. We seek scholars developing biologically informed models of cognition driven by experimental data, with an interest in collaborating closely with experimental and clinical researchers
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-finland & https://www.aalto.fi/en/services/welcome-to-aalto-university-and-finland-info-package Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto and check out our new virtual
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University of California, Los Angeles | Los Angeles, California | United States | about 10 hours ago
(non-tenure track). The successful candidate will conduct independent and collaborative research in molecular and medical pharmacology, with an emphasis on human stem cell and organoid models, disease