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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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Contribute to the translational mission of CPMM by exploring pathways for technology transfer and industrial adoption. MINIMUM QUALIFICATIONS: A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS
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to manuscript preparation and grant progress reports. Preferred qualifications: PhD in neuroscience, physiology, biomedical sciences, or a related field; prior animal research experience; background in behavioral
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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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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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engineering, nursing, computer science, data science, or related field Strong analytical and programming skills Excellent written and oral communication abilities Experience with one or more of: machine
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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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for data analysis and system control. Experience with AI or machine learning in imaging is a bonus but not required. Ph.D. in Biomedical Engineering, Optical Sciences, Bioengineering, Physics, or a related
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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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-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