12 parallel-processing-bioinformatics PhD positions at Wageningen University and Research Center in Netherlands
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Your job Are you a highly motivated and enthusiastic individual with a strong background in process-based modeling, data analysis, and soil sciences? Do you want to participate in a large-scale
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and experimental research; Processing, analysing, and reporting research results and translating these into practical advice for the fisheries sector, government, and other stakeholders; Publishing in
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processes. For the modelling you will make use of data obtained in the experiments, and you will also play a minor role in acquiring that data. You will work here You will be located at Wageningen University
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Sousa, by e-mail diana.sousa@wur.nl . For more information about the procedure, please contact Evelien Janssen, corporate recruiter, by email: evelien.janssen@wur.nl . Ready to apply? You can apply
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procedure? Get in touch with Jeanine van ‘t Veer, Corporate Recruiter, via jeanine.vantveer-drost@wur.nl . Ready to apply? Click on the application button next to the vacancy on our website. Only applications
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want more information? For more information about the position, please contact Prof. dr Liesje Mommer, via +31 6 20921336 or email: Liesje.Mommer@wur.nl . Questions about the procedure? Get in touch with
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, but also for a higher level of sustainable alternatives, contributing to the development of circular processing and a circular economy. As a research Assistant you will be responsible for: perform
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decision-making processes in ways that genuinely improve public-space performance? This PhD project approaches public-space management through the lenses of transaction cost theory, rational-choice
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professor Biobased Soft Matter, via email: costas.nikiforidis@wur.nl . Questions about the procedure? Get in touch with Evelien Janssen, Corporate Recruiter, via email: evelien.janssen@wur.nl . Ready to apply
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collaboratively in an interdisciplinary, multicultural research environment. Strong analytical skills, with experience in statistical analysis, geospatial data processing, or modelling of socio-environmental