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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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, partly due to a lack of reliable predictors of transplantation outcomes. The ADORABLE consortium aims to develop an advanced, data-driven assessment system for donor kidneys. Central to this is the use
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use, inter alia, physiological measures such as fEMG. Combined with theoretical discourse analysis (as used in the fields of semantics, pragmatics, philosophy of language, conversational analysis and
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. This is measured using explicit and implicit judgments. For the latter, you will use, inter alia, physiological measures such as fEMG. Combined with theoretical discourse analysis (as used in the fields
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to simulate cascading disaster effects, as well as satellite and sensor data, looking specifically at 6 different use cases across Europe. In addition to the detailed innovative analysis of existing methods and
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implicit judgments. For the latter, you will use, inter alia, physiological measures such as fEMG. Combined with theoretical discourse analysis (as used in the fields of semantics, pragmatics, philosophy
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Job related to staff position within a Research Infrastructure? No Offer Description Do you want to unravel the links between cognitive symptoms, neuropathology and immune-metabolic functioning in
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, you will develop statistical and computational methods to uncover novel gene-disease associations, investigate disease mechanisms, and link genomic findings to clinical outcomes. You will be part of a
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/or value-based governance? Are you interested in doing research about the risks of AI use in public administration and how to manage conflicting public values? Please apply at Vrije Universiteit
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, biophysics, and materials science. In this PhD project, you will: Develop an experimental platform to study 3D self-organization of active particles. Fabricate and characterize light-driven microswimmers. Use