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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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degree programme. Approximately 500 employees from around the world are employed at the department, which houses modern laboratory, core, and animal facility infrastructures. English is the preferred
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degree programme. Approximately 500 employees from around the world are employed at the department, which houses modern laboratory, core, and animal facility infrastructures. English is the preferred
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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
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transcriptomics. You possess strong programming skills in Python, R, or another relevant language. Your experience includes working with bioinformatics tools and databases, as well as multi-omics data integration
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, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff
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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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, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit
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evaluate the importance of structuring the foods of the future. A high level of verbal and written communication in English; Practical abilities to carry out experimental research, and excited to develop new