160 programming-"St"-"FEMTO-ST"-"St" positions at Technical University of Denmark in Denmark
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of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a
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of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment
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solid understanding of energy system technologies and economics is also required. Additionally, experience with other programming languages, open-source software development, project management using
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an operational capacity. Your role will be to further this development by contributing with a strong background in computer vision, machine learning, quantitative analysis and programming. You will collaborate
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passionate for research and for pushing the scientific frontiers. Excellent programming skills. Good collaboration skills. Fluent in English, spoken as well as written. As a formal qualification, you must hold
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are looking for candidates who have experience with developing AI or machine learning models, as well as bacterial sequence analysis. You should be familiar with relevant programming languages such as Python
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) or a similar degree with an academic level equivalent to a two-year master's degree.[BN3] [SK4] Strong programming skills in Python and MATLAB Background in biomedical signal processing, ML, and BCIs
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at DTU Compute, including teaching and supervision activities We are looking for you who have: Solid knowledge of process mining, continual learning, or cybersecurity Strong analytical and programming
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. Knowledge of olfaction, calcium, or GPCR signalling is preferred. Experience with biological assay developments such as bulk and single-cell reporter assays. Programming skills (e.g., Python, R). As a formal
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equivalent). Other qualifications and competences include: Experience with bioinformatics Experience with mathematical modelling and programming, including source attribution modelling of foodborne pathogens