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7 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Astrophysique de Marseille Research Field Astronomy Researcher Profile Recognised Researcher (R2) Application Deadline
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their applications unsuccessful. Details of the University’s Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy
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deploy machine learning and deep learning models (transformers, large language models) for immunological data (biological sequences, single-cell data, and protein structures, virtual drug screening) Use
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, KY Grade Level 52 Salary Range $107,994-183,581/year Type of Position Staff Position Time Status Full-Time Required Education MA Click here for more information about equivalencies: https://hr.uky.edu
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RECRUITMENT PERIOD ONE MONTH: Applicants will be screened after two weeks; and then on a weekly basis. The position can be filled prior to the removal date. Job Summary Under supervision of the Large Animal
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, Medical Image Analysis and Clinical Big Data Analysis research, or a related discipline A successful candidate will have ability to apply for research grants and teach graduate courses Preference will be
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Development. Required Qualifications Bachelor’s Degree in computer science, data science, electrical engineering, or any other science/engineering field with a focus on AI, computation, large language models
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computational data organization, microscopy image management, and research productivity. The role assists faculty and Principal Investigators in organizing, curating, and preparing large-scale microscopy image
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3 Apr 2026 Job Information Organisation/Company KU LEUVEN Research Field Medical sciences » Medicine Researcher Profile Leading Researcher (R4) Established Researcher (R3) Application Deadline 1 Sep
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(including Large Language Models and data-driven optimisation) with concrete industrial deployment. A profile comfortable with the challenges faced by industries in their transition towards Manufacturing 4.0