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management. Our research addresses various aspects of strategy, design, planning and control, measurement and development of supply chains. Current research areas include supply chain preparedness and risk
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modelling approaches, including integrated assessment modelling, material-flow analysis and life-cycle assessment, while developing robust and reproducible workflows using large and complex datasets
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
refereed journals, the fellow will develop lay materials to transfer key findings to farmers and agribusiness. Qualifications Minimum Qualification: PhD, by time of appointment. Candidates need to have a PhD
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benefits (when applicable) Life insurance coverage Employee discount programs Position Status Full Time Working Hours Standard Hours 37.50 Daily Work Shift Day Work Arrangement Consistent with the current
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position
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you: A relevant PhD degree and preferably a completed postdoctoral period.Applicable fields: stream ecology, biogeochemistry, environmental science, environmental engineering (the last three mainly in
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targets specifically amyloidogenic proteins implicated in the diseases like Alzheimer’s and Parkinson’s. Required qualifications A PhD. In the area of synthetic/ medicinal chemistry is rquired. Experience
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verbal communication skills. Minimum Qualifications PhD in Pharmaceutics, Pharmaceutical Sciences, Biomedical Engineering, Chemical Engineering, Pharmaceutical Chemistry, Drug Delivery, or related
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impact? We are currently seeking a/an University Assistant postdoctoral at the Department of Islamic-Theological Studies 30 Faculty of Catholic Theology Startdate: 01.09.2026 | Working hours: 20
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: ● Applicants must have a PhD in Computer Science or related field, with no more than five years post receipt of the PhD. ● Experience in one or more ML domains, such as deep learning, reinforcement learning