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- Delft University of Technology (TU Delft); yesterday published
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Field
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techniques with the constraints of silicon processes. In parallel, you will develop on-chip antenna structures, performing full-wave EM simulations and translating these designs into manufacturable layouts
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high-fidelity CFD–machine learning (CFD–ML) framework capable of efficiently analyzing and optimizing rooftop aerodynamic duct structures for building-integrated wind energy systems. The aim is to push
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on the following activities related to Bayesian inference in factorial designs: Construction and elicitation of informed prior distributions; Critical assessment of default prior distributions; Organizing a many
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Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the
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metrology in structures containing such opaque layers is ultrafast photoacoustics, where a first laser pulse interacts with an opaque medium in such a way that it launches an acoustic pulse that travels
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construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
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centres; the opportunity to contribute to the Φ-lab strategy and activities. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship The objective
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to live, or to move, to the Twente region or within a short commute. Within the UT structure, your supervisor will be Prof.dr. M. Boon and co-supervisor Dr. Miles MacLeod. We are seeking a highly motivated
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industrial and medical applications. More information can be found via https://www.maastrichtuniversity.nl/research/institutes/amibm/research/ Research group Sustainable Polymer Synthesis Main research focus
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the energy landscapes of neural quantum states or the simplicity biases of neural networks. You will be given scientific freedom to shape your own research agenda and will be supported by structured mentoring