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experimental molecular biology laboratory. We believe that AI and Machine/Deep learning can be complemented with statistical and mathematical modelling to arrive at a systems level description and understanding
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understand how forest fires and climate change interact on a global scale. You are available from September 2024 onwards, or sooner. You also possess: At least intermediate statistical and mathematical skills
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data; analysing this data critically, using advanced statistical techniques and with deep knowledge of the biological context.; collaborate with relevant stakeholders (in particular Rijkswaterstaat and
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nutrient flows on field and regional level for multiple crops and soil types. This includes the ensemble of empirical, statistical and process-based modules into an integrated soil, plant and crop model
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person with a strong interest in using animal breeding as a means to achieve sustainable food production; interest in genomic prediction and statistical and quantitative genetics; interest in further
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/consumer behavior; statistical/ modelling skills and experience with quantitative data collection (survey research, lab and natural experimental research are parts of this project); an interest in conducting
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science, marketing, social psychology, behavioral economics). Other backgrounds will not be considered; statistical/ modelling skills and experience with quantitative data collection. Surveys, and (lab and
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of fresh produce and shellfish. In the projects we use process-based and statistical models to evaluate these impacts. In this role you will be responsible for data gathering for the models, developing
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Your job Are you interested in microbial communities and how to design them? Are you eager to explore statistical approaches to engineer functional microbial communities for long-term applications
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conduct research into measuring and further analyzing (statistical methods) choice and eating behavior, (multi)sensory perception, consumer preferences, etc.; you contribute to project proposals