26 natural-language-processing PhD positions at Wageningen University and Research Center
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nature-based solution, for climate change adaptation, biodiversity gain, and other ecosystem services to people. Key responsibilities: Analyse biodiversity data of birds, plants and insects from newly
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about natural ingredients (herbs, oils, etc) and affiliated legal standards? Maybe then you are the one we, Wageningen Food Safety Research (WFSR) are looking for in our veterinary drugs research teams
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. Please note: a good command of the Dutch language is an essential requirement for this role. Your tasks and responsibilities as a Research Assistant in Product Quality include: Organising and conducting
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spatial development Experience with qualitative research related to planning processes, governance and instruments; Proficiency in Dutch (native speaker or level B2) to perform fieldwork. For this position
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tomato varieties. You like to work in a research and teaching environment. Good oral communication skills, excellent (academic) writing skills, structured way of working, affinity for analytics
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Your job Are you enthusiastic about understanding climate feedback processes in tundra ecosystems? Are you enthusiastic to conduct field- and remote sensing-based monitoring for impactful science
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hybrid forecast and agricultural advice based on seasonal forecast Contributing to designing adaptation strategies including Nature-Based Solutions to cope with climate change-induced salinity issues
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-footprint), emission models (e.g. IPCC, EMEP/EEA) and tools (e.g. Simapro); experience in programming languages (e.g. Python) to develop methods, models and tools is considered a strong plus. excellent spoken
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programming, as well as proficiency with relevant software tools and programming languages. An interest in working together with people from the food industry and food banks. For this position your command
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include: Analysing large climate datasets to quantify and study mesoscale convective systems in tropical South America Use different modelling approaches to understand the processes driving extreme