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At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13 TV-L, part
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
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, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual
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comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu
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molecular biology and cell biology techniques. Basic procedures include but are not limited to: pipetting; cell and tissue culture, handling of small laboratory animals, etc. There will be continuous learning
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automated liquid handling systems; and interest in machine learning and AI. 3/23/2026
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for machine-brain interface, tissue repair, and disease diagnosis, monitoring and treatment, are especially encouraged to apply. The appointee is expected to conduct world-class research and to teach
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recently completed a pilot study investigating the use of atmospheric pressure ionisation mass spectrometry coupled with machine learning for differentiating between brain tumours and normal tissue
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. Connections working at Alexandria Technical & Community College More Jobs from This Employer https://main.hercjobs.org/jobs/22169165/machine-tool-technology-machinist-instructor Return to Search Results
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specifically in Biotechnology or degrees directly related to biomedicine. (MECES Level 2). Specific Requirements Professional experience in Machine Learning, accredited through a certificate of services and