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Department of Plant and Environmental Sciences invites applicants for a PhD fellowship in Biochars for Environmental Remediation. The project is made available through the Sino-Danish University
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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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this position, you are expected to have: A solid foundation in concrete technology, mechanics of materials, and structural engineering A strong interest in experimental research Prior exposure to or interest in
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, biophysical chemistry and/or enzyme technology. During the 3-year project, the PhD student will center on enzyme assisted carbon capture. We are looking for candidates with excellent qualifications within some