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Field
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with process safety and security concepts, accident modelling approach, and dynamic Bayesian Networks would be advantageous. Willingness to conduct research in a multi-national project team. Fluent in
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under varying lighting, fabric blends, and soiling; (5) porting the inference pipeline to an embedded/edge-compute platform; (6) integrating with our robotic pick-and-place cell for iterative field trials
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creative – You bring substantial knowledge of statistical (e.g. Bayesian) methods, strong analytical skills, and creativity. Programming skills – You are proficient in Python and/or Matlab. Research
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the inside out. Your role: Develop experimental approaches for imaging-based characterization of soft matter. Apply and advance continuum mechanics and machine learning techniques to infer mechanical
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to electrochemisty and electromagnetics. Interface tracking/capturing methods such as immersed boundary method, level-set method, volume-of-fluid, phase filed method are options for model development.
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. Stef van den Elzen and dr. Fernando Paulovich. The visualization cluster (https://research.tue.nl/en/organisations/visualization-3 ) at TU/e has a strong track record in visualization and visual
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-oriented solutions, and the advancement of knowledge. The first sub-project; a PhD track, focusses on the characteristics of transformative competencies to be achieved as learning outcomes, and pathways
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their PhD, and seek employment as a (tenure-track) assistant professor. Required profile Candidates should have a strong interest in finance, but not necessarily an MSc or MPhil degree in finance since
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societal partners. DCC staff is also responsible for a successful teaching program in Communication and Information Sciences (CIS), in which students can follow three tracks: Business Communication and
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-organization of active particles. Fabricate and characterize light-driven microswimmers. Use advanced optical microscopy and particle tracking to analyze their motion and interactions. Investigate emergent