16 programming-language PhD positions at Wageningen University and Research Center in Netherlands
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, have good programming skills in R or willing to learn, data management skills, are problem solving oriented, and like scientific writing and outreach. You also possess: A completed MSc degree in Biology
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of programming languages like Python will be considered as a plus; Experience with sorption behavior of surfactants/polymers will be considered a plus; Experience with anaerobic bioreactors will be considered a
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your mother tongue; Official, stamped MSc degree certificate; Good command of programming languages like Python will be considered as a plus; Experience with rheology will be considered as a plus
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your command of the English language is expected to be at C1 level . Sometimes it is necessary to submit an internationally recognised Certificate of Proficiency in the English Language. More information
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, Biotechnology, Bioengineering, Biochemical Engineering, or related fields, with demonstrated experience in marine sponge cell culture; excellent writing and communication skills in English; prior hands
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, swine, poultry and fish and sensor technology and big data analyses. We perform research in quantitative genetics, genomics, animal breeding programs and genetic diversity, across the major species. Most
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passion for research that supports vulnerable communities and sustainable development. You have: A completed Master’s degree (or equivalent) in one of the following or a relevant program from a recognized
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qualifications: An MSc degree in a relevant field, including: biology, forest & nature conservation, plant sciences High level of English speaking and writing. See the language requirements of Wageningen
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sector clients working on (social) sustainability in tropical value chains? Would you like to support businesses, policymakers and NGOs in evaluating and learning from programs for improving smallholder
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systems. Proven programming skills in Python, R, or a comparable language. Interest in developing methodologies to assess localized climate hazards, exposure, and vulnerability as inputs to impact-based