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This position focuses on investigating vehicle-track-ground interaction dynamics with a particular emphasis on the critical speed induced by high-speed trains. The candidate will contribute
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presentation of analysis results. The ability to work with large and complex datasets. Excellent spoken and written English skills. Experience in machine learning, predictive modeling, and/or Bayesian methods
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element simulations to create intelligent design tools Industry Collaboration and Utilization Work closely with startup partners to ensure research alignment with commercial objectives Participate in
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innovation, ensure alignment with project objectives, and contribute to dissemination and knowledge exchange. The postdoc position primarily involves research in some of the most current and interdisciplinary
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optimize industrial processes. -Collaborate with academic and industrial partners to support technical innovation, ensure alignment with project objectives, and contribute to dissemination and knowledge
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. Teamwork experiences should also be documented in the application. Since the subject is male-dominated, we encourage female applicants. Proven track record of publication will be preferable. Applicants will
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: Holds a relevant doctoral degree with a solid track record. Technical Proficiency: Expertise in bioengineering, additive manufacturing or stimuli repsonsive materials is a plus. Self-Motivated: Strongly
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agent behavior Strong collaborative skills and a track record of publications Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained within the last three years prior
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/containerization platforms (e.g., Kubernetes, OpenStack) Ability and motivation to carry out high-quality research and development Strong track record of publications in leading Q1 journals and top-tier
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, chemical) engineering, bioelectronics, plant biology or equivalent. We are looking for a candidate who is / has: Academically Strong: Holds a relevant doctoral degree with a solid track record. Technical