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ultrasound physics, reconstruction algorithms, and data acquisition techniques to ensure high-quality inputs. Collaborate with clinicians: Work with medical specialists to validate the clinical utility of your
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to make viable trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with
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theoretical and methodological perspectives to lead digital transformation and take on current societal challenges. The members of the Department, including its IS section, are listed here . Department members
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to your application! We accept applications until and including 1 October, 2025.Please submit: a motivation letter and CV, including a list of publications and your funding and teaching track record
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information with your approval. This vacancy will be listed up to and including 15 September 2025. We hope to schedule the first job interviews soon after the closing date. Welcome, safe, and valued Wageningen
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interest, qualifications, and motivations to apply for this specific position. A Curriculum Vitae, including a list of all courses attended and grades obtained, and, if applicable, a list of publications and
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for this specific position. A Curriculum Vitae, including a list of all courses attended and grades obtained, and, if applicable, a list of publications and references. Contact information of two scientific staff
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. FEB's programmes, academic staff and research do well on various excellence ranking lists. Where to apply Website https://www.academictransfer.com/en/jobs/354383/elsa4ti-phd-position-legal-chal
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deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image/video segmentation, object tracking, reinforcement
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algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates to have the following skills and experience. We welcome