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committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff
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direction and day-to-day running of the research group. The post offers opportunities to learn and be trained in molecular biology techniques alongside their synthetic chemistry work. You will also help
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will focus on developing efficient foundation models to medical image analysis. Foundation models offer a scalable and adaptable solution for medical image analysis by learning generalizable
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at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. The research will primarily focus on probabilistic methods for data-driven model reduction, with
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, the quality of the PhD dissertation and publications, the applicant’s personal prerequisites and motivation to carry out the project and teach at the department. The hiring process will include an interview
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loci and candidate genes), working alongside two other Research Fellows specialising in agronomy and remote sensing. The project team also includes eight academic staff, three PhD students, and expert
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work on a project to conduct research on learning from human demonstrations for robot manipulation used in household service and manufacturing. The roles of this position include: Develop robotic
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to assess capacity needs, develop research‑informed learning materials, and coordinate contributions from multiple international partners. They will oversee production and quality assurance of training assets
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development, model training, test rig set-up, and experimental validation. Job Requirements: The candidate must at least have a PhD Degree in AI, Robotics, Automation, Mechanical Engineering, Control
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The Center for Interdisciplinary Cardiovascular Sciences (CICS), directed by Masanori Aikawa, MD, PhD, at Brigham and Women’s Hospital and Harvard Medical School is seeking a postdoctoral research