24 programming-"Multiple"-"Integreat--Norwegian-Centre-for-Knowledge-driven-Machine-Learning" "Prof" positions in Netherlands
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-Jan Reichart Dr Martin Ziegler , and Dr Lennart de Nooijer . Multiple others will be involved for specific aspects of the project. Foreseeable international collaborators include Profs. Stijn de
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to derive overarching scaling principles that apply across multiple disciplines, including hydrology, socioeconomics, toxicology and ecology. To achieve this, you will collect data from databases, reviews
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to derive overarching scaling principles that apply across multiple disciplines, including hydrology, socioeconomics, toxicology, and ecology. To achieve this, you will collect data from databases, reviews
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conferences; Mentor BSc/MSc students. About NL2120 NL2120 is a program in which science, business, nature organizations and education work together to gain knowledge about natural solutions (Nature-based
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-for-Good, the municipality of Emmen, NOM, InvestNL, and other academic and regional stakeholders. The PhD position will be embedded within the research programme Global Economics & Management at the Faculty
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will be embedded within the research programme Marketing at the Faculty of Economics and Business (FEB). The project will be supervised by Marijke Leliveld and Kim Poldner. The ideal candidate is highly
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are encouraged to submit a research proposal that aligns with UCALL's research programme and encompasses multiple areas of law. Your job Over a period of four years, you will conduct a PhD research under the
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chemical safety assessment Vacancy number: 15791 Key Responsibilities The research group of Prof. Bob van de Water and Dr. Giulia Callegaro is focused on systems toxicology approaches for safety assessment
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similar field; expertise in programming skills and statistical data analyses, including machine learning; affinity with environmental exposure modelling and high-performance computing; strong reporting and
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interest in environmental health and Exposome research; expertise in programming and quantitative data analysis, including machine learning in R/Python; affinity with bioinformatics; strong collaboration