524 programming-"Multiple"-"U"-"U.S"-"O.P"-"Washington-University-in-St" positions in Denmark
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exclusively, on contemporary security issues. The researchers have a strong research profile and a dynamic doctoral training program and extensive partnerships with other Danish and European institutes and
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the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's
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-years of work experience) related to data science, bioinformatics, computer science or within natural sciences Excellent programming skills, preferably in Python and/or R Good software engineering
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Continuum mechanics Large deformation elasticity Design of mechanical devices Programming skills As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical
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. You will join the Junior Innovator program at Aarhus University, comprising young researchers from across all faculties. You will be encouraged to and supported in applying for external funding e.g
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are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students have high academic ambitions and deliver high-quality results for both the private and the public sectors
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of Technical Sciences, Aarhus University, Denmark, within the Food Science programme. The position is available from 01 November 2025 or later. You can submit your application via the link under 'how to apply
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academic level equivalent to a two-year master's degree. Demonstrated competence in programming with Python and working on Linux based platform is essential for this position. Further, we are looking for a
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at undergraduate and graduate level in the department’s political science and international relations study programs (teaching and supervision will be in English and/or Danish) - supervise and mentor PhD students
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, particularly GBS, continuous-variable QC Experience with numerical simulation, statistical estimation, or probabilistic modeling. Programming proficiency (Python, Matlab or C++), especially for numerical