31 programming-"FEMTO-ST"-"FEMTO-ST" Postdoctoral positions at Technical University of Denmark in Denmark
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background in thermodynamics and phase behavior of complex mixtures Excellent programming skills (e.g., Python, C++, Fortran, or similar) Experience with COSMO-based methods, including parameterization, model
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sector consultancy and participation in activities related to our advice and related work program with the Danish Agency for Climate Data (KDS). The GEO division also contributes actively to the centers
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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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of platform fabrication will be a central aspect that has to be considered. Your primary tasks will be to: plan and execute experimental research design and fabricate micro- and nanoelectrode chips in the DTU
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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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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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to moving the frontiers of science. A good understanding of electromagnetism and magnetotransport. Experience with numerical modelling techniques (ideally Comsol modelling) and programming (e.g. Matlab
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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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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