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Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Computer Engineering, Genetics/Genomics or related field experience with ‘omics platform output experience with biological datasets
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. Alexander Ecker (Institute of Computer Sciences, University of Göttingen). Candidate profile We are looking for a highly motivated candidate with: A strong background in animal behavior, behavioral ecology
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, located in the Laboratory of Organic Chemistry (Organic Chemistry - WUR ), which is headed by Prof. Han Zuilhof . You will be supervised by Dr. Laura Righetti and Dr. Gert Salentijn with support by
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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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background in Computer Science, Informatics Engineering, Mathematical Modeling, Computational Urban Science, Transport Modeling or equivalent, or a similar degree with an academic level equivalent to a two
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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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criteria Academically relevant background within marine technology and cybernetics, electrical engineering, control engineering, computer science, applied mathematics, or a related discipline. Master's
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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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embedded within the group of Dr. Fedor Miloserdov ( Homogeneous Catalysis and Biomimetic Synthesis - WUR ), located in the Laboratory of Organic Chemistry ( Organic Chemistry - WUR ), which is headed by Prof
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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