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. Python, MATLAB). You will have the opportunity to participate in digital Norwegian language courses during your employment. Advantageous knowledge and skills Experience of working with SuperDARN and EISCAT
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addition, Professional Researchers may engage in University and public service. Candidates should possess a broad range of knowledge and technical competency, extensive work experience (e.g., postdoctoral
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have: MSc in engineering or similar discipline by the start date of the position Experience with mechanical modeling and simulation Experience in computer programming/scripting (e.g., C++, Python, Matlab
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, including researchers, faculty members, engineers and technicians, as well as non-permanent staff, including fixed-term contract researchers, postdoctoral researchers, PhD students and interns, distributed
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programming skills are a plus: MATLAB, Python, Git Fluency in English An open personality and good communication skills in written and spoken English. TU Delft (Delft University of Technology) Working at TU
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learning Solid programming skills, preferably in Python and modern deep-learning frameworks such as PyTorch Experience working with large or complex datasets The applicant must be fluent in English, both
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Science, Biostatistics or a closely related discipline; have demonstrable experience with training machine and deep learning models, preferably using Python; have a basic understanding of biology and/or
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analysis of complex datasets using specialized peptidomics tools. Experience in MS data analysis using software such as FragPipe and DIA-NN, as well as basic programming skills in Python. Practical
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possibly measurements. You will mainly do your programming work in a mixed programming environment, i.e. combining both high-level and low-level programming languages such as Python for the former and
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technologies in NLP, LLMs, and RAG. Programming skills in Python, including experience with machine learning libraries (e.g., PyTorch, Scikit-learn, Hugging Face Transformers) and development tools (e.g., Co