75 programming-language-" Postdoctoral research jobs at Technical University of Denmark in Denmark
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documented prior experience with either biosynthesis or electrochemistry, or both. The ideal candidate is a good communicator in both written and spoken English, is independent, and enjoys collaborating with
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, sequencing, cell cultivation). Plan, perform, and analyse yeast and immunological experiments independently, driving the project forward (e.g., cellular assays, immunoassays, flow cytometry, cell sorting
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of microbial biogeochemistry Proficiency in scientific programming and data analysis using tools such as Python, R, MATLAB, or similar Excellent written and verbal communication skills in English
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and applying new skills. Experience with programming in Python and a working knowledge of statistics It would further be beneficial if you have some of the following skills: Hands-on experience with
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in English. Strong attention to detail and commitment to high-quality results. Preferred (most): Knowledge in reduced-order models for structural dynamics. Knowledge in nonlinear structural analysis
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English skills. You should strive towards scientific excellence and be ambitious and hard-working. The preferred candidate shall have background / experience in the following areas: Solid Mechanics
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electrocatalysts. Communication Skills: Excellent written and oral communication abilities in English, with a strong commitment to collaborative research and scientific dissemination. As a formal qualification, you
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. Knowledge of compilers, especially an LLVM-based compiler tool chain, program analysis, and computer architecture. Knowledge of real-time systems. Systems programming and C/C++. We offer DTU is a leading
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capabilities are required for writing documentation and for communication with colleagues in a multinational setting As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a
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. Responsibilities and qualifications The overall aim of the project is to generate new knowledge about how emerging generative AI tools – such as Copilot, speech-to-text systems and retrieval-augmented generation