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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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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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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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and Chemistry at Leiden will enable the candidate to maximize their learning opportunities, participate in local research networks, and access leading research facilities. Candidate profile
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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 worldwide. You will work across the Faculty of Arts and the Faculty of Spatial Sciences, but you will be officially appointed at the latter. The Faculty of Spatial Sciences of the University
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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agencies. However, sharing in your network is appreciated.
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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