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is desirable, though candidates from non-glaciological/environmental science backgrounds will be considered and are actively encouraged to apply. You should have a PhD or equivalent applied experience
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advanced techniques to create materials with tailored properties. Primary responsibilities include structural design and physicochemical characterization, as well as assisting in the supervision of PhD
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Commensurate with experience Type of Position Other Position Time Status Full-Time Required Education PhD in science related field Required Related Experience N/A Required License/Registration/Certification N/A
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a Focus on Data Science: A master’s equivalent university degree with above average grades and a relevant doctorate/PhD (e.g. in cognitive science, data science, learning analytics, or a related field
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of biological and statistical physics. Candidates for the position must have a PhD in physics or a related discipline, preferably with expertise in stochastic processes, nonlinear dynamics, and control theory
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that are researched by PhDs and Postdocs to develop HI. It is our aim to be able to use the developed metrics and methods to evaluate how well these projects provide solutions for HI as well as establish synergies
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close to completing, a PhD in chemistry, physics, materials science, engineering or a related discipline. You will have experience in the electrochemical testing of Li-ion batteries or related energy storage
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biological questions. The post-holder should hold, or be close to completion of, a PhD in molecular/cell biology, biochemistry, structural biology or a related subject. You should have hands-on experience in
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metabolomics. Your profile We are looking for a candidate with: A PhD in microbial ecology, environmental microbiology, plant–microbe interactions, biogeochemistry, or related fields. Demonstrated
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. Qualifications PhD (obtained or near completion) in evolutionary biology, population genetics, genomics, or bioinformatics. Strong background in population genetics and evolutionary biology. Proficiency in