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V39.7440 Job description Are you inspired by the prospect of shaping the future of autonomous driving? Are you fascinated by explainable artificial intelligence? Are you eager to work on an interdisciplinary
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AI, Autonomous Systems and Software Program (WASP). The PhD student will participate in the WASP graduate school. Qualifications The doctoral student will be admitted to the third-cycle programme in
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training will be provided. Demonstrated excellent written and verbal, and interpersonal communication skills. Ability to work autonomously, problem solve and effectively manage own time/workload to meet
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conducted under the auspices of the Learning and Decisions research group. This group specializes in developing control and decision-making strategies for autonomous systems and infrastructures, integrating
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, Hybrid, and Autonomous Vehicles. To sustain this growth, achieving defect-free semiconductor devices with yields exceeding 90% is imperative. The industry anticipates a 98% efficacy boost through AI
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an advantage. You are well-organized, have strong prioritization skills, consistently deliver on time, and are capable of autonomously planning and executing tasks. What we offer We offer a doctoral
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world constraints. The group aims to bridge knowledge gaps between computational and biological learning, as well as to design physical learning machines that autonomously solve hard inverse design
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, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process . An excellent technical infrastructure, on-campus children's day care and sports facilities. An allowance
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particular. You have philosophical acumen, solid analytical skills, strong historical interests, and philological sensitivity. You are an autonomous researcher with excellent communication and organisational
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skills, strong historical interests, and philological sensitivity. You are an autonomous researcher with excellent communication and organisational skills, who also likes to work in a team. You are active