162 parallel-programming-"DIFFER"-"Mohammed-VI-Polytechnic-University" Postdoctoral positions in Denmark
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aspect of the role. The ideal candidate will also be involved in various teaching responsibilities. This will include delivering lectures in both undergraduate and graduate programs, specifically within
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. The application must include: Cover letter (max. 1 page) Project description and research plan (max. 4 pages) Curriculum Vitae with applicant's e-mail and phone number Documentation of qualifications (examination
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microscopy, X-ray diffraction, EXAFS, total scattering, as well as Python programming (or equivalent) Demonstrated high-level expertise in any of the following areas will count favorably toward the assessment
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Steven Ludeke to discuss their expected degree timeline. Highly proficient in at least one statistical programming language (e.g., R, Stata, SAS, Python). Candidates that can show an aptitude for learning
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-level programming, developing prototype implementations, and evaluating their research in testbed experiments. An interest in generating real-world impact and collaborating with the industry. Excellent
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) in marketing. Faculty members use a wide range of methodologies, both qualitative and quantitative. Through our research-based teaching, we contribute across a palette of courses and programs
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biomolecules, translational research, and therapeutic development. Are independent, motivated, and excited about growing an ambitious research program. Exhibit excellent communication skills and enjoy
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or prior experience with multilingual or low-resource NLP Programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and their application in high-performance
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oriented focus. 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
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research topics do you plan to work on Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background