22 data-science PhD positions at Wageningen University and Research Center in Netherlands
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Your job We are seeking a PhD candidate to drive the transformation of food product development through the integration of high-throughput experimentation (HTE), data science, and food processing
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monitoring of settlement plates on landers. Integrate empirical data into conceptual models; Publish research findings in peer-reviewed journals and present them at national and international conferences
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, researchers, PhD students and analysts. We are known for our expertise on animal breeding, biological understanding of traits of cattle, swine, poultry and fish and sensor technology and big data analyses. We
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and Learning Sciences chair group , a vibrant group of researchers and teachers. Our core mission is to understand and facilitate the unfolding of human potential in response to global challenges. You
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. This way, you can contribute to advancing the field of visual detection techniques. Your qualities You have: an academic degree in biology or plant biology; demonstrable experience with visual and
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and DNA metabarcoding of stomach contents. Your qualities As the ideal candidate : you hold a MSc degree (or will graduate before appointment date) in Biology, Marine Biology, Ecology or Environmental
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) Proven affinity with the application of statistical methods for data analysis of spatial and temporal datasets in the domain of agronomy, ecology and environmental sciences Proven affinity with modeling
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), sustainable, and climate-adaptive crops. By combining plant biology, simulation modelling, and artificial intelligence we aim to develop smart breeding and cultivation methods. Thus, we try to speed up
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-AR, research scientists , PhD student and technicians all working closely together covering the different tasks and disciplines. Your qualities A PhD in life sciences, veterinary medicine, or a
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Administration, Political Science, Environmental Policy and Governance, Spatial Planning, Human Geography, or a related discipline. Foundational skills in social science research, both conceptual and empirical. A