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, ideally in a technical or CS-related field Strong organizational skills and comfort managing multiple parallel timelines and stakeholders Working familiarity with tools such as Moodle, GitHub/GitHub
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. Proficiency in python programming and electromagnetic simulation. Experience in reduction of large data sets. Preferred Qualifications Proficiency in parallel computing. Proficiency in foreground mitigation
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, Ludwig-Maximilians-Universität München, using the following link https://www.efv.verwaltung.uni-muenchen.de/md4 no later than 30 September 2026 and in parallel in electronic form exclusively
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
knowledge of general laboratory practices; excellent attention to detail; strong organizational skills; ability to manage multiple samples, constructs, and deadlines in parallel; ability to follow protocols
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in Swedish, within four years. The department uses Swedish and English in parallel. The senior lecturer should be able to perform the majority of their tasks in English. However, as a public authority
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complementing and expanding the expertise of the department. Ongoing research interests and activities can be found on the department website. Note: The Department is carrying out a parallel search in the general
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parallel search for an Assistant Professor across all areas of Earth and Planetary Sciences. Candidates are encouraged to also apply for that position. The posting can be found here: apply.interfolio.com
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and parallelization of scientific simulation codes. In research in theoretical or computational quantum physics. In the development and application of Quantum Monte Carlo methods. Having worked
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conducting two parallel faculty searches in biomedical engineering education. This Teaching Professor position is intended for educators who will provide leadership in undergraduate education through
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, evaluation, RLVR, PEFT, quantisation, tensor/data parallelism. Ideally, the candidate should have familiarity with CUDA kernels and/or Triton, and inference engines (vLLM, SGLang, et cetera). Experience coding