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Field
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field Experience working with cryogenic thermal-vacuum systems Experience developing electrical systems and data acquisition with Python or LabView Preferred Qualifications: Expertise in planetary
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multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience
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multidisciplinary team environment. Further, we will prefer candidates with some of the following qualifications: Solid background in programming using Python (PyTorch, TensorFlow), R or other languages. Experience
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making a difference to people's lives. We believe that inspiring our people to do outstanding things at Durham enables Durham people to do outstanding things in the world. Being a part of Durham is about
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 months ago
, or Python Required Certifications or Licensure No Required Certifications or Licensure Dept/School Psychology - 32431 Primary Purpose of Organizational Unit UNCW is an 18,000-student campus located
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different areas of nanoscience and nanotechnology. Job Title: Postdoctoral Researcher Research area or group: Advanced Electronic Materials and Devices Description of Group/Project: The Advanced Electronic
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surrounded by stunning countryside. Our talented scholars and researchers from around the world are tackling global issues and making a difference to people's lives. We believe that inspiring our people to do
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a specific water balance component than others. This can make the structure inadequate to be directly transferred to other regions with different physiographic contexts and hydroclimatic regimes
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excellent skills in modern computer programming languages such as C++, Python, MATLAB or R. We look for candidates who enjoy collaborating in interdisciplinary teams and are good at communicating science in
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our understanding of mental disorders by applying novel analytical tools to differences in genotypes and environment to predict disease trajectories. The project is part of a Nordic initiative in large