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-
://degradationproject.com/ ) and NEXGENNa (http://nexgenna.org/ ) projects and participation in regular relevant FI meetings. Applicants should hold (or be about to obtain) a PhD in Chemistry, Materials Science, or a closely
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of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict ore quality and optimize operational decisions. 2. Key Responsibilities
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) that combines a mix of remote and regular on-campus working. Your skills and attributes for success: Essential PhD (or near completion) in Computer Science, Physics, Mathematics, or related field
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related subject. A PhD (or be close to submission) in Physics, Mathematics or a related subject. Experience Experience in conducting high quality academic research. Strong publication record in peer
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on cutting-edge research at the intersection of statistical modeling, artificial intelligence, and infectious disease epidemiology. This position focuses on developing and applying statistical, mathematical
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administration and organisation. We are looking for a/an Uni postdoctoral Mathematics 56 Faculty of Mathematics Job vacancy starting: 01.09.2025 | Working hours: 40,00 | Classification CBA: §48 VwGr. B1 lit
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immunotherapy for basic and translational research in the laboratory of Dr. Xue Zhong Yu. A qualified candidate is expected to have a strong publication record and excellent references from PhD or postdoctoral
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surface properties on their energy balance and gas exchange. Experiments will be accompanied by mathematical modelling of the physical processes involved. How will you contribute? In accordance with any
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mathematics/statistics department at Illinois Tech that offers BS through PhD degrees, including a nationally ranked Master of Data Science in partnership with the Department of Computer Science, and the newly
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students. The required qualifications are: PhD degree in mathematics, science, engineering, or a related field by the start date. Extensive experience in one or more of the following areas: probabilistic