8 bayesian-object PhD positions at Eindhoven University of Technology (TU/e) in Netherlands
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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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-adjusting PAP devices is gaining popularity for its convenience. However, this approach comes with the downside of not allowing measurement of objective sleep parameters that would be traditionally collected
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, damage and fracture. The loading conditions in contact and scratching are equally complex and need to be properly accounted for as well. PhD project The objective of this PhD project is to achieve
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are equally complex and need to be properly accounted for as well. PhD project The objective of this project is to extensively characterize the governing micromechanisms of phase transformation, plasticity
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-scale, distributed, multi-objective optimization techniques applied to energy markets and power systems and AI for optimization and control in power and energy systems. The EES group has strong ties with
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-scale, distributed, multi-objective optimization techniques applied to energy markets and power systems and AI for optimization and control in power and energy systems. The EES group has strong ties with
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, hardware prototyping, compiler design, simulation and emulation tools, as well as cybersecurity, reliability, and system verifiability. The objective of this PhD project is to develop a gain-cell memory