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. The post‑holder will have the opportunity to teach. Applicants should hold a PhD, or be close to completion, in physics, engineering, computer science or a closely related discipline and have a strong
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resonance imaging data among other imaging modalities, machine learning methods for prediction, treatment effect estimation, and contribute to understanding brain biomarkers of Alzheimer’s disease and their
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our teams, you would therefore have the opportunity to learn more about a wide variety of techniques relevant to pain research, as well as become a member of the Wolfson SPaRC – a world-leading
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member. Preferred Qualifications PhD or equivalent degree in anatomy or related field. Job Duties Teach dissection-based gross anatomy to medical students in a laboratory setting. Contribute to
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gases. Applicants must hold a PhD degree in mathematics, physics or a related field. We seek candidates with an outstanding academic record. The terms of employment are internationally competitive, and
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molecular biology and either prior experience in, or a strong desire to learn, basic bioinformatic analyses. Applicants must hold a PhD by the start date. To apply, please provide: a CV contact information
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candidate will have recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically
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Commensurate with experience Type of Position Student Position Time Status Full-Time Required Education PhD Required Related Experience Experience in life science or related disciplines. Required License
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 days ago
/Qualifications Technical skills and level required : mathematics, programming Languages : English Relational skills : good communication skills Specific Requirements The candidate must hold a PhD in machine
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fellow devotes most of their time to research. There is the possibility of teaching up to 20%. Requirements PhD degree in machine learning, automatic control, system identification, signal processing