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: PhD in CS/ML/medical informatics, strong publication record, and hands-on experience with generative models in medical imaging. Postdoctoral Research Associate (f/m/d) EU Research Project TWIN-X Full
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 1 month ago
Zone Description DOE Scholars Program Overview The DOE Scholars Program at the U.S. Department of Energy Office of Policy (OP) offers paid opportunities for high school students, undergraduate students
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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cadre of trainees at the Center including those supported by the NIH T32 AIPrN training program. The program is designed to train the next generation of scientists and build a workforce equipped with
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to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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Location: Trinity College Institute of Neuroscience (TCIN), Trinity College Dublin, Ireland This postdoctoral position contributes to a UKRI-funded programme developing anatomy driven artificial
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, sensing, and computing within a single unified network. These positions will involve advancing fundamental theories and the enabling technologies needed for simultaneous communication, sensing, computing
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the relevant union. The period of employment is 2 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Ming Chen (minc@dtu.dk ) and you
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interest in translational science. The postdoctoral fellow will work closely with Dr. Vivek Charu and Dr. Brooke Howitt. Required Qualifications: PhD in Biostatistics, Bioinformatics, Computational Biology