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the earth system. IPCC defines tipping points as “critical thresholds beyond which a system reorganizes, often abruptly and/or irreversibly”. In this proposal, we explore the socio-economic consequences
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new nationwide AI system can be predicted using generated data sets of different sizes and measuring the environmental impact. This impact can be measured and calculated by our Software Energy Lab
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spectroscopy data and AI, to automatically identify textile fabrics with high accuracy in real-world sorting conditions by (1) defining optimal spectral bands, spatial resolution, and acquisition speed; (2
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their learning opportunities, participate in local research networks, and access leading research facilities. Candidate profile: Applications are invited from outstanding graduates who meet the following criteria
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researchers. There are strong connections to national cosmology networks and observational collaborations. Active participation is expected in group meetings, journal clubs, and international research projects
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your future colleagues enjoy working at WUR. We will recruit for the vacancy ourselves, so no employment agencies please. However, sharing in your network is appreciated.
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networks such as Young@EUR Opens external , FAME , QuEUR, or Young Erasmus Academy Opens external . Time and space for your development in the broadest sense: development days and a personal career budget
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why your future colleagues enjoy working at WUR. We will recruit for the vacancy ourselves and do not appreciate unasked for services from recruitment agencies. However, sharing in your network is
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network “Lerend Kwalificeren” (LK-network) in Vocational Education and Training. This network is supported by researchers (dr. Judith Gulikers & Dr. Liesbeth Baartman and the VET-council (Kennispunt
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spectrometry; coordinating your work within a national and international network of collaborators while working in an ambitious, motivated, multidisciplinary team of veterinarians, clinicians, geneticists