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bioinformatics. We are looking for a talented and strongly motivated PhD student to join our enthusiastic and young interdisciplinary teams of Prof. Dmitriev (Tissue Engineering and Biomaterials Group, https
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evergreen and most herbaceous plants so the understanding of this diversification is crucial. Working with a team from Spain (led by Prof. Mario Martínez Azorín, Alicante) and the UK you will generate DNA
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level university degree in engineering (e.g. Computer Science), completed with above-average results • Good skills (both theory and practice) in one or several of the following topics: Computer Vision
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advertisement About the position A Doctoral Research Fellowship is available at the Faculty of Computer Science, Engineering and Economics at Østfold University College. This PhD candidate will play a central
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, the Geolab external link , and the Earth Simulation Laboratory external link . Moreover, the department has excellent High-Performance Computing facilities. The department is located at the Utrecht Science
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for Energy Business and Economics Research (CEnBER - https://www.rug.nl/cenber/ ) and in the research programme Economics, Econometrics & Finance of FEB’s Research Institute. The project will be supervised by
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. This studentship will be hosted within the medical school at Swansea University in the labs of Dr Laura Thomas (https://www.swansea.ac.uk/staff/laura.e.thomas/ ) and Prof Martin Clift (https://www.swansea.ac.uk
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, electrical engineering, control engineering, computer science, applied mathematics, or a related discipline. You must have a Master's degree or equivalent within one of the specified disciplines. Your
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modelling. Application of the produced soft sensor to investigate the feasibility of process control. The project will be supervised by Prof. Jürgen Hubbuch and Dr.-Ing. Iris Perner-Nochta. The successful
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collaborate with local stakeholders. You must also possess: A relevant MSc degree in environmental sciences, physical geography, earth system science, climate studies, agricultural studies, or similar with a