4 bayesian-inference-tracking PhD positions at Eindhoven University of Technology (TU/e)
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varying material properties. The resulting response will be analyzed using techniques such as Monte Carlo simulations. Identifying the variability of the model parameters using Bayesian inference
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chemistry concepts (desirable). Familiarity with chemical or biological databases (e.g., ChEMBL, PubChem, PDB) is a plus. Experience with Bayesian modelling, transfer learning, few-shot learning, or other
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positioning, tracking mobile devices, and sensing. By addressing these research questions you contribute to making OWC technology mature for use in upcoming 6G wireless networks, which is a pressing research
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sub-project; a PhD track, focusses on the characteristics of transformative competencies to be achieved as learning outcomes, and pathways to identify that set, in co-creation with stakeholders