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Qualifications The ideal candidate will have expertise in one or more of the following research areas, without being an exhaustive list: Proven track-record within synthetic biology, ideally within yeast
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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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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 attach all your materials in English in one PDF file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications Research experience and
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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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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
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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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plan and conduct most of your research independently, but at the same time, you will be part of a larger, team-driven project, and should find this exciting. You should be scientifically curious and
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Thermodynamic modelling of phase equilibrium related to CO2 capture and/or storage. Integration of models and algorithms into CO2 capture simulation or storage simulation. Strong programming skills and solid