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. in physics, mathematics, computer science, or a related field. Applicants are expected to have: 1.A strong background in quantum mechanics and quantum information theory 2.Research experience in one
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molecular mechanisms underlying neurodegeneration remain poorly understood at the protein level. Patient-derived induced pluripotent stem cells (iPSCs) provide a unique window into disease-relevant biology
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Experience Doctoral (PhD) degree in Civil, Ocean, Mechanical Engineering or related field with a focus on Coastal Systems, Coastal Numerical Modeling, Nearshore Field Data Collection, Hydraulic Engineering
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: The researcher will work in the framework of an internal project entitled "Ultrafast room temperature chemical sintering of noble metals" funded by the internal call ICN2-SO Technology Valorisation Programme
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track how viruses replicate, disseminate, and transmit. By pairing cutting-edge technology with collaborations across global health partners, the lab works to unlock the mechanisms driving infection
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of Turku, it was established in the beginning of 2021. The Faculty consists of the Department of Computing, Department of Biotechnology and the Department of Mechanical and Materials Engineering. We have
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proposals. ESSENTIAL QUALIFICATIONS/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Control Science and Engineering, Process Control, Mechanical Engineering, Chemical Engineering, Computer
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. The overall mission of the RT-NRL is to (1) identify brief temporal windows during which the neurophysiological mechanisms supporting voluntary upper extremity movements are most active and (2) deliver evidence
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Doctoral degree from a recognized institution in Electrical, Mechanical, Computer, Naval or Aerospace Engineering. Is less than 5 years post receiving the Doctoral degree. First-author peer-reviewed
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering, to perform cutting-edge research on projects centered around machine learning models for Computer Aided Design and Engineering