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, Mechanical, Thermal Engineering or Computer Science. Experience Experience in conducting high quality academic research. Demonstrable ability to write material of a quality commensurate with publication in
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 11 hours ago
The Department of Psychological Sciences Job Description The Department of Psychological Sciences at the University of Missouri invites applications for a full-time postdoctoral research scholar position in Dr
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for duties undertaken remotely. Required Qualifications: A PhD degree in Biostatistics, Statistics, Computer Science or a related field who possess STRONG computing/programming and communication skills
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analyses of the datasets you generate. As part of your postdoctoral research, you will take part in our medical biology educational programme, assisting in one or two courses per year and supervising BSc and
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. Computing time is available on our local cluster and on the Vienna Scientific Cluster (VSC), a supercomputer shared by Austria's major universities. We focus on the development of methods to solve the many
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Position Details Position Details Job Title Post-Doctoral Research Position Number 8150599 Job Category University Staff Job Type Full-Time FLSA Status Exempt Campus Maywood-Health Sciences Campus
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for this position, the following is required: PhD in systems engineering, computer science or informatics, and the subject of the thesis should be relevant to the task description provided above (e.g. digital twin
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Vacancies Postdoc position on Form Adaptive Multilayer Engineering (FAME) Key takeaways Staying in focus is a fundamental challenge in highly demanding optical systems where imaging plays a central
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centers across the Nordics and the European Molecular Biology Laboratory (EMBL) , with complementary research expertise at the forefront of molecular medicine research. With the NORPOD program, the Nordic
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efficient real-time computation of joint kinetics. Developing and validating motor unit-driven musculoskeletal models to estimate ankle joint moments during gait in stroke survivors. Implementing real-time