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Applications are invited for one Research Fellowship in either Biological Anthropology; Biology/Biological Sciences; Biotechnology; Chemical Engineering; Chemistry; Computer Science; Ecology
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. Computational experiments will guide compound design, synthesis, and biological evaluation, including the assessment of bioactivity, mechanisms of action, medicinal chemistry properties, and metabolism. The work
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of Vacancy Number ST2600226 Job Title Economics Teaching, Research, and Programming Assistant Job Category Regular Student Job Job Type Regular Student Jobs Position Class Code 82100 - Student - Unrestricted
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Institute of Technology invites applications for the Jack and Dana McCallum Family Foundation Postdoctoral Fellowship in Central Nervous Systems Research. This program supports outstanding early-career
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 22 hours ago
) Computer Science (4) Construction Services (4) Human Resources (4) Institute for Urban Education (4) Law - General (4) Pediatrics-Neurology (4) Periodontics (4) Plan Administration (4) Police (4) Professional Coding
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, tumor immunology, preclinical therapeutic studies is highly desirable. Previous computational expertise is not required, although an interest in interpreting high-dimensional molecular data and
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completed a PhD in engineering or computer science, or an equivalent foreign doctoral degree recognised as comparable to a Norwegian PhD. Competence in developing and applying machine learning methods Good
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Role type: Full-time; Fixed term (12 months) Faculty: Science School: School of BioSciences Salary: Level A: AUD $87,266 - $118,416 p.a. (*PhD entry level $110,319) Level B: AUD $124,656 - $148,023
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Role Overview We are looking for a motivated Material Science and Engineering Engineer to join our team
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learning, and computational biology to adapt and augment existing open models for predictive biology. Approaches may include fine-tuning, parameter-efficient tuning, probing, and retrieval- or knowledge