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Job Description Job Alerts Link Apply now Research Fellow in Quantum Algorithms University-Level Unit: Centre for Quantum Technologies Faculty/Department-Level Unit: Computer Science Group Employee
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 16 hours ago
Program conducts regulatory science research to ensure safe and effective interoperable medical devices, including wearable technology and systems of devices in the home and integrated clinical environments
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was successful in all three funding lines of the German Excellence Initiative and has also been competing successfully in both funding lines of its successor programme, the Excellence Strategy, since
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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Department of Health Technology and Informatics Postdoctoral Fellow (Ref. 260320001) [Appointment period: eighteen months] Duties The appointee will assist the project leader in the research project
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the possibility to be renewed for additional research periods. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant. What
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About the job: As a part of the 14CHRONO team, the research fellow will lead a programme of research and development into novel thermally-driven evolved gas analysis (EGA) molecular separation
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Department of Health Technology and Informatics Postdoctoral Fellow (Ref. 260312001) [Appointment period: eighteen months] Duties The appointee will assist the project leader in the research project
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academia, industry, and national laboratories Job Requirements: PhD in Materials Science, Chemistry, Physics, Computer Science, or a closely related discipline. Strong experience with Density Functional
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available in the further tabs (e.g. “Application requirements”). Programme Description The scholarships are aimed at Master's and PhD students in the following disciplines: natural science, pharmacy or data