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Field
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close cooperation with the chemical, flavor & food, medical and high-tech industries. Research is organized into four themes: Analytical Chemistry , Computational Chemistry , Synthesis & Catalysis and
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engineering or computer sciences is required, with specific skills in: Back-end / Front-end programming languages and frameworks used in the ATD project: ASP.Net, .Net Core, HTML, JavaScript, MS Visual Studio
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community and to communicate the ESA HRE science programme to the community; Work with the European and international science community to advance the ESA HRE programme; Act as a liaison with international
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PhD candidate in Design and synthesis of pyrophosphate mimetics to study enzymes involved in natural
freedom to assemble your own set of terms and conditions. For international spouses we have set up a dual career programme. Candidates from outside the Netherlands may be eligible for a substantial tax
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learning and data augmentation for soil and biomass carbon forecasts; developing a computational framework for data production in cooperation with Research Software Engineers; collaborating and coordinating
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balanced geo-return by analysing and monitoring the distribution of contracts across Member States in line with programme goals and industrial development priorities. It also develops advanced analytics
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undergraduate students. We focus on high quality teaching and research in the fields of human and economic geography, demography, and spatial planning. Our research program is titled TRACE (TRAnsformations
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. Qualifications We are looking for a candidate with A PhD in Computer Science, Operations Research, Applied Mathematics, Mathematics, Engineering, or a related discipline. Strong programming experience, for example
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on sufficient progress in the first year to indicate that a successful completion of the PhD thesis within the next three years is to be expected. A PhD training programme is part of the agreement and the
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robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part