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elsewhere in the job posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Analytical Problem Solving, Computer Literacy, Laboratory Instrumentation
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includes the following tasks: Develop computer-aided design software for modular construction of switchable RNA nanostructures. Develop databases for RNA modules for automated building of atomistic models
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at scientific symposia. Excellent knowledge of the English language. Advanced computer skills. Probation period: 4 months. Applicants for the post of senior assistant ought to have been engaged in scientific
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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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tissue culture). Strong skills in scientific and critical thinking. Computer skills: proficient with Word, Excel and PowerPoint. Strong oral and written communication skills. Ability to work independently
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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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2026 - 12:16 (UTC) Country Ireland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content Please check our website for details: https://www.uni-goettingen.de/de/training+program/636453.html Course
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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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RPTU University Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 8 hours ago
Degree PhD Course location Kaiserslautern Teaching language English Languages Discussions are held in English (100%). Programme duration 8 semesters Beginning Only for doctoral programmes: any time