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The Department of Molecular Biology and Genetics and the Danish Research Institute of Translational Neuroscience (DANDRITE, Nordic-EMBL partnership in molecular medicine) at Aarhus University
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Department of Electrical Engineering at Penn State University is seeking to fill a Postdoctoral Scholar position in RF & mmWave integrated circuits (ICs
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, writing manuscripts and presenting at scientific conferences Your profile Required qualifications include a PhD degree in computational biology or a related field. We are looking for a research-driven and
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Qualifications Doctoral degree in plasma physics, nuclear engineering, applied physics, computational science, or a closely related field, completed by the start of the appointment. Strong foundation in plasma
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Sciences Department: Medicine | Health and Rehabilitation Sciences Position Summary Post Doctoral Scholar to pursue specialized research training, education, and experience under the guidance of a scientific
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 2 months ago
Biological sciences » Biology Medical sciences » Medicine Engineering » Biomedical engineering Technology » Biotechnology Chemistry Computer science Engineering Biological sciences Biological sciences
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, developing and applying computational methods to explore renal pathology across tissue scales. This project will focus on tubular injury patterning and on glomerular disease. You will be responsible
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Ref.: 537392 Work type: Full-time Department: Faculty of Social Sciences (30000) Categories: Senior Research Staff & Post-doctoral Fellow Research Assistant Professor / Post-doctoral Fellow in
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Duties: Perform and analyze ReaxFF reactive molecular dynamics simulations on 2D-material growth Connect the results from these simulations to data science methods and Computational Fluid Dynamics Perform
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to, atmospheric science, environmental engineering, earth observation, and computer science. Strong programming skills and experience with machine learning applications in geoscience are highly desirable