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, integrative systems biology, and machine learning. Our research is focused on analyses of data generated within the biological, biomedical, biotechnological and life sciences areas. The section has extended
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contingent on funding. Working Conditions Office, Library, Computer Room; Requires extensive safety Physical Effort Typically sitting at a desk or table; Occasional lifting 25 lb. or less Job Location - City
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are of particular interest and thus are strongly encouraged to apply. Detailed Position Information The Department of Aerospace Engineering and Mechanics (AEM: https://aem.eng.ua.edu ) and the Lee J. Styslinger Jr
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sciences plus two years’ experience preferred. Experience with machine learning, data mining, and analytic techniques. Experience mentoring and developing junior employees on soft and technical skills
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, P4 - Advanced, P3 - Career, P2 - Developing FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary
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, P4 - Advanced, P3 - Career, P2 - Developing FLSA Code Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary
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at the CCA include: Astronomical Data, Stars & Plasma Astrophysics, Galaxy Formation, Gravitational Wave Astronomy, Cosmology, Machine Learning & Astrophysics, Exoplanets & Planet Formation, Astronomical
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evaluation in the use of digital health and AI/big data in healthcare are encouraged to apply. The selected candidate should also possess collaborative and organizational skills based on experiences working
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. · Proven leadership in AI or data science with healthcare research applications. · Strong publication and funding record. Preferred Expertise: · Machine learning, generative AI, large language models (LLMs
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transcript and protein levels. Using machine learning, we will identify conserved expression profiles that predict lifespan outcomes. Guided by these insights, we will use state-of-the-art genome editing in