72 programming-language "INSAIT The Institute for Computer Science" Postdoctoral research jobs at Technical University of Denmark
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dynamics of two- more persons’ data during social interaction (e.g., decision making, turn-taking dynamics, or eye-movements) strong programming skills in e.g., MATLAB or Python strong background in signal
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the supervision of bachelor, master, and PhD students. You will plan and conduct most of your research independently, but at the same time, you will be part of a larger, team-driven project, and should find
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you are open to working with other colleagues. Qualifications You can work independently, plan and execute complicated and challenging tasks. You are flexible, self-motivated, interested in
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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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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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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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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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. 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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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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Solid programming experience, preferably in Python Familiarity with structured data handling (e.g., SQL) and scientific workflows Documented experience with ontology development, knowledge graphs, and