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starting July 2025, and will remain open until excellent fits are found. The successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine
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starting July 2025, and will remain open until excellent fits are found. The successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine
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until excellent fits are found. The successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine learning (AI/ML) being a major focus
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PhD applicants will have obtained their doctoral degree from a PhD program with a strong foundation in basic, clinical, behaviorial, or social science with documented research training. • MD/DO trainees
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successful completion of a background check. A drug screen or physical may be required during the post offer process. Additional Information: Job Requirements: Required: PhD in computer science, biomedical
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, industrial energy systems, energy efficiency of manufacturing industry, or other related fields. You will play a crucial role in the planning, execution, and optimization of our technical assistance program
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existing expertise while providing opportunities to gain new skills in a collaborative and productive research environment. Required Qualifications - Ph.D. in Biology, Neuroscience, or a related field. PhD
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intelligence with Bowdoin’s liberal arts mission, focusing on its societal, ethical, and humanistic dimensions.The gift will fund new faculty positions across disciplines, support faculty in AI-related teaching
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related to your field. Required Qualifications PhD in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or other relevant engineering or science discipline. Expertise
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. Techniques we use include in vitro neural differentiation, gene expression manipulation, metabolic assays, and mouse breeding and behavior. Knowledge in basic computer skills, record keeping and experience