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to the success of the whole institution. At the Faculty of Environmental Sciences, Department of Forest Sciences, Institute of Soil Science and Site Ecology, the Chair of Soil Resources and Land Use offers a
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The PhD project will involve both (a) developing foundational probabilistic machine learning methodology, and (b) applied collaboration with experimentalists in chemistry and biology. The candidate may have
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engineering. Preferred Qualifications: PhD in Chemical Engineering or closely related field. Extensive, hands-on experience with CFD analysis and modeling, including proficiency with leading CFD software tools
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: implementation science or qualitative research diabetes foot disease research and/or clinical practice. How to apply The first step is to email Associate Professor Peter Lazzarini detailing your academic and
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methods for nuclear fusion, motivated by yield prediction in tritium fuel cycles. The lack of scalable tools necessitates large engineering tolerances, increasing reactor cost. Empirical tests are expensive