78 machine-learning-phd-in-denmark Postdoctoral positions at University of Minnesota in United-States
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various lab materials to ensure efficient functioning of the lab. Qualifications Essential Qualifications: PhD in biology, genetics, cell/molecular biology, biochemistry, or related fields is required. Pay
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, working groups Qualifications Required Qualifications: ● PhD in water resources, hydrology, aquatic ecology, limnology, wetland ecology or a related field ● Experience with synthesis and analysis of large
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, advancing DEI, etc. Qualifications Required Qualifications: PhD in molecular biology, microbiology, mycology, biogeochemistry, or equivalent Microbial genomics, transcriptomics, or proteomics expertise Some
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. Expected distribution of duties includes: ● Laboratory benchwork: 75% ● Data analysis, writing, and presentations: 25% Qualifications Required Qualifications: ● A PhD degree in Neuroscience or a related
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field deployment 30% modelling of whole-farm greenhouse gas fluxes 20% analysis of trace gas flux data and model outputs 30% manuscript writing & publication Qualifications Required Qualifications PhD in
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(PhD, MD, DVM) with dissertation and/or post-doctoral research experience in virology, immunology, microbiology, vaccinology, or reproductive biology. Pay and Benefits Pay Range:$62,232; depending
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to lead a project related to the transport of bacteria in porous media and multiphase flow. A PhD degree in engineering or earth science is needed. 75% - Conduct laboratory experiments related
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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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have a PhD in environmental engineering, earth or environmental engineering, or related fields, with a background in ecohydrology. Experience in ecohydrological modeling and remote sensing is desired
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consoles Learn the CNS Lab developmental neuroimaging standard operating procedures well enough to train new members Attend MRI sessions and assist PI and other staff with the collection of MRI data Should