27 postdoctoral-biomedical-signal-processing PhD positions at University of Twente in Netherlands
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theoretical point of view, it is known that martensitic phases in hardened steel, as used in bearings, tend to degrade before the formation of microcracks, marking the onset of (rolling contact) fatigue damage
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to translate your findings into more efficient production processes and better quality control. Your work will directly promote sustainability through reduction of material waste in production and pigment
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to valid operational states. Your starting point will be identifying realistic constraints (such as fairness assumptions and timeout mechanisms) that allow for effective liveness analysis via extensions
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design, coordination) and non-technical (e.g., streamlined governance and re-engineered processes) natures. The PRE-MADONA project offers a game-changing solution by leveraging data-driven methods
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PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
transcript of B.Sc. and M.Sc. education. The selection procedure includes an interview and a scientific presentation. The first round of interviews will be held in week 35. For more information about the
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on their approaches and information infrastructures, you will improve the communication in the development process. You will lead the development of a digital (file) format for the A3AOs that contains both visual and
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for at least two academic references. an academic transcript of BSc and MSc education. An interview and an assignment will be part of the selection procedure. The first (online) job interviews will take place
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Vacancies PhD Candidate in Explainable AI for Earth Observation Key takeaways With the growing integration of Artificial Intelligence (AI) in geospatial decision-making processes, ensuring
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well as their cleanroom fabrication by silicon micromachining will be investigated. The main challenges are (1) the design and modelling of new sensor topologies, (2) development of the MEMS fabrication processes, (3
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at the interface of applied mathematics and process optimization in the medical laboratory context. Your contributions will be to gain mathematical insights and ensure that these translate into real-world impact