43 programming-"Diamond-Light-Source"-"Diamond-Light-Source" research jobs at Technical University of Denmark in Denmark
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scanning program and a post-processing program. The software architecture and programming approach for a suitable implementation in a clinical scanner must be described during the project. The clinical
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, and present research findings at conferences and workshops. Collaborate with researchers from other institutions within the European CLUSTEC program to advance the overall project goals. As a formal
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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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. 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
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Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process
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airborne geophysical observations, and strong competences in Arctic fieldwork logistics. The gravity research group has carried out airborne gravimetry since the 1990s and has an annual work programme to
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in glaciology, Geodesy, Earth sciences, remote sensing, or a related field. Strong skills in data analysis, programming, and handling large geospatial datasets are essential. Experience with satellite