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: Candidates with a DVM degree or equivalent foreign degree are eligible to apply. Preferred Qualifications: A PhD degree. Candidates should have experience in handling of animals, sampling of live and dead
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interdisciplinary, and together we contribute to science and society. Your role We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning
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PhD in Neuroscience, Psychology, or related fields, and an interest in the neural mechanisms underlying motivated behavioral decision-making. A quantitative background, experience in imaging
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Graduate Assistants working on the projects. The successful candidate must demonstrate innovative thinking and the ability to work independently. A PhD in Statistics or a related field is essential as
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
for isomerization in MOFs: https://doi.org/10.1039/D3QI01065A What we are looking for: A PhD in Chemistry, Materials Science, Physics or a related field Experience in python (ASE, scikit-learn, pytorch) is essential
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exploring biophysical principles that regulate genomic processes. Applicants should have a PhD in molecular biophysics, biochemistry or a related discipline. The ability to work effectively in a team and
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will have a PhD in nutrition, public health, human development and family studies, psychology, or a related field. We are especially interested in candidates with strong quantitative and analytical
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, Biosystems, or Environmental Engineering and must have completed all PhD degree requirements by the appointment date. Experience in process modeling is required, and expertise in techno-economic analysis and
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methyl shuffling leaves a discernible isotopic imprint, regardless of the source. Qualifications and Requirements: A PhD in stable isotope geochemistry, organic geochemistry, or microbial biogeochemistry
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to the researcher’s career goals. Applicants must have a PhD in rural sociology, sociology, geography, or a related field, with experience in mixed-methods social science research in rural settings, including