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-year PhD program, you will join a collaborative research team applying cutting-edge methods from Experimental/Behavioral Economics alongside modern macroeconomic modelling techniques (e.g. DSGE). You'll
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, of course, we offer a good pension plan. We also give you plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development
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individual choices model gives you some 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
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- Wageningen University & Research ) and Dr. Karen Kloth ( Karen Kloth - Wageningen University & Research ). Your project is part of the MiCRop Consortium programme on microbial imprinting of crop resilience
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://research.wur.nl/en/persons/rieta-gols ) and Dr. Karen Kloth (https://research.wur.nl/en/persons/karen-kloth). Your project is embedded in the MiCRop Consortium programme on microbial imprinting of crop resilience
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embedded in the MiCRop Consortium programme on microbial imprinting of crop resilience to (a)biotic stresses (https://www.microp.org). Within MiCRop, you will receive training and scientific exposure
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. For recent work in this area, see: https://doi.org/ (...)17/S002205072300027X and https://papers.ssrn.com/ (...)?abstract_id=4155944 The PhD position is embedded in the research programme Economics
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immigration procedures will help you with the visa application procedures for yourself and, if applicable, for your family. If you come with a partner, we offer a Dual Career group program organized by our
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Engineering, Electrical Engineering, or a related field. You have a strong background in machine learning, AI or control systems. You are proficient in programming languages such as Python and/or C++. Having
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learning, neural networks (preferably spiking neural networks). You have practical skills in FPGA development, hardware-software co-design, and real-time or embedded AI systems. You have strong programming