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and demonstrable ability to interface and collaborate with experts in programming. • An independent, well-organized, and reliable work style. • Track record of obtaining scientific funding
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organization in Iron Age and Roman Portugal’, funded by the Cultuurfonds (Regato fund) and led by Prof. dr. Tesse Stek and Dr. Anita Casarotto. The Research Assistant's primary responsibility will be to support
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will be employed at Doctoral level (PhD) at the Department of Computer Science of the University of Luxembourg (UL). She/he will be supervised by Prof. Dr. Christoph Schommer and is expected to conduct
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with Prof Tawfique Hasan at the NanoEngineering Group at the Cambridge Graphene Centre, and will closely collaborate with SRA, PDRA, and technician team members. Applicants must have (or be close to
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hardware. Relevant programming experience developing, implementing, debugging, and maintaining applications with Python. Experience training ML models using large-scale and specialized hardware. Experience
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) at the Chair of Business Administration, in particular Accounting, Auditing & Corporate Governance (Prof. Dr. Patrick Velte), the university is looking for responsible, motivated and committed individuals
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equitable. This UKRI Frontier project was selected for funding by the European Research Council (ERC) and is led by Prof. Anna Korhonen. The goal of the project is to investigate the challenges in
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Materials (CQM) group led by Prof. Jose Lado and work under the supervision of RCF Fellow Dr. Adolfo O. Fumega. Requirements We seek a highly motivated student with: A Master’s degree in physics, chemistry or
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should have a Ph.D. in experimental particle physics, excellent data analysis, computing and programming skills and the ability to carry out an independent research program. Prior experience with Machine
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should have a Ph.D. in experimental particle physics, excellent data analysis, computing and programming skills and the ability to carry out an independent research program. Prior experience with CMS will