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Medical Center (CUIMC): https://www.cuimc.columbia.edu/ For more details and to apply, contact: Junhao Wen, PhD Assistant Professor of Radiology and Computational Neuroscience Department of Radiology and
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physics (mandatory) Good didactic skills (mandatory) High written and oral expression skills (mandatory) Computer user skills (mandatory) Excellent command of English (mandatory) Ability to work in a team
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computer models as well as being in the lab. You have affinity with analytical determination of pharmaceuticals in difficult matrices. You are able to dive into topics outside your current knowledge base
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. This is a part-time, 50% FTE position. Additional FTE (up to 100%) may be available based on evolving program needs Location: Seattle or hybrid, with statewide travel to partner sites, as needed. Project
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engineering Engineering » Computer engineering Engineering » Control engineering Engineering » Materials engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline
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application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine
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for a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1
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the development of mathematical models for signal transmission and reception, derivation of fundamental performance limits, algorithmic-level system design, and performance evaluation through computer simulations
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Are you excited about pioneering experimental quantum computing? Do you want to be part of a world-class research environment developing the next generation of superconducting quantum processors? We
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this position, you will ideally bring the following: For the Networking and AI position: Completed a PhD in Computer Science, Electrical & Computer Engineering, or a closely related field Expert knowledge of deep