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-disciplinary team of AI scientists, oncologists, and informaticians. We are especially interested in candidates with experience in LLM architecture (e.g., GPT, T5), prompt engineering, RLHF, or model deployment
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research trainee. The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. Appointments cannot exceed five years. PREFERRED QUALIFICATIONS: PhD in
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learning, and signal processing applied to conduct high quality research with a particular focus on neuropsychiatric and cardiovascular diseases. Working in a large team of 15 PhD students, several postdocs
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qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATION: PhD. NOTE: Position tasks are generally required to be performed in-person at an Emory University location. Remote work from
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: The qualified candidate should hold a PhD in Medicinal Chemistry, Radiochemistry, Neuroscience, Pharmacology, or related fields. Hands-on experience with CNS models (e.g., neurodegenerative or psychiatric models
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equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field. Applicants must have or will obtain a PhD in one of these disciplines: molecular biology, cancer biology, cell biology, genetics
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QUALIFICATIONS: - PhD in Ecology and Evolution, Virology, Bioinformatics, Computer Science or a related discipline - Demonstrated interest in computational analysis of biological data - Advanced coding skills
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and Skills 1. A PhD, ScD, PharmD, MD, or equivalent degree, with experience in clinical research, epidemiology, pharmacology, or related fields 2. Strong background in epidemiological/statistical
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oral communication skills. The ability to work effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATIONS: PhD in statistics, physics
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parameters; Previous experience in metabolomics and lipidomics highly desirable; Experience with long-acting antiviral agents desirable; Strong publication record during their PhD thesis; Draft scientific