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difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more
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difficult and the creation of more intelligent process control strategies and innovative methods of tracking reliability can be achieved with expert informed machine learning techniques, which offer more
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, there will be assessments towards applicable existing technical safety standards based on the regulatory framework to mitigate risk to have higher requirements then the legislator has defined, leading
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Organisation Job description Topic of research: Fundamentals in the growth behavior of ultrahigh temperature TaC coatings for producing epitaxial SiC semiconductor Reliable protective coatings
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methods for eliciting and aggregating safety specifications and risk thresh-olds for AI systems, with a particular focus on mechanisms that provide axiomatic guarantees, are algorithmically tractable, and
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methods for eliciting and aggregating safety specifications and risk thresh-olds for AI systems, with a particular focus on mechanisms that provide axiomatic guarantees, are algorithmically tractable, and
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amended or new publication could be requested, To achieve these results, there will be assessments towards applicable existing technical safety standards based on the regulatory framework to mitigate risk
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. Qualifications We are looking for a candidate with A PhD in Computer Science, Operations Research, Applied Mathematics, Mathematics, Engineering, or a related discipline. Strong programming experience, for example
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circular lithium economy by integrating materials science, electrochemistry, and membrane technology. Organisation Founded in 1614, the University of Groningen enjoys an excellent international reputation as
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are looking for candidates with: A PhD in Operations Research, Applied Mathematics, Mathematics, Engineering, or a related field. A background in logistics (preferred). Strong writing and presentation skills in