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for donor kidneys. Central to this is the use of machine learning to evaluate the predictive value of biomarkers from various sources: donor-related data, perfusion fluid, and kidney biopsies. Kidney biopsies
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to learn new skills, exchange knowledge and collaborate where possible. be willing to teach and guide students. TU Delft (Delft University of Technology) Delft University of Technology is built on strong
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mechanisms. Work in a collaborative, interdisciplinary, and dynamic environment with leading experts in machine learning, computational biology, and neurogenomics. Access cutting-edge datasets, infrastructure
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grant funded in collaboration with dr. Maurijn van der Zee at the Institute of Biology Leiden (IBL). Your part of the project includes: Setting up large-scale field sampling of wild populations for 12
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mass spectrometry based de novo sequencing, machine learning and AI-tools to interpret the data. Your job The primary objective of the project is to further develop mass spectrometry-based techniques
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20 strongly collaborating senior and junior scientists. The group focuses on precision measurements of atomic and molecular systems, using advanced laser techniques as well as techniques to cool
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environment, in close collaboration with Dr. M.C. van Eijk (Leiden Institute of Chemistry). The project will be embedded within the Leiden Early Drug Discovery & Development (LED3) network, which will maximize
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-antibodies. You will focus on the identification of these antibodies by using mass spectrometry based de novo sequencing, machine learning and AI-tools to interpret the data. Your job The primary objective
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, to form interdisciplinary collaborations across fields and geographical locations within the Netherlands, and to acquire skills by active participation in science communication activities, interacting with
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developing personalized brain stimulation treatments. Your colleagues: You will be part of a collaborative, multidisciplinary team working at the intersection of brain stimulation , neuroimaging, and epilepsy