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a powerful bridge between biology and engineering. The PhD offers training in computational neuroscience, neural circuit modeling, and AI/robotics, as well as strong interdisciplinary exposure through
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. . Our PhD-program brings together top-level training and teaching for young scientists , benefiting from the extensive course offerings of local universities and focused instruction by ICFO professors, in
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contingent on sufficient progress in the first year to indicate that a successful completion of the PhD thesis within the next three years is to be expected. - A PhD training programme is part of the agreement
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for success: A PhD in Mechanical Engineering, Materials Science, Physics, or a related field. Experience in computational mechanics, finite element analysis, and numerical simulations. A strong background in
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Title: Chief Editor, Nature Mechanical Engineering Location(s): New York or Shanghai – Hybrid Working Model Deadline: October 5, 2025 About Springer Nature Springer Nature is one of the leading
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experimental design and data analysis. Prepare professional-level documentation, research reports, and manuscripts for publication. Required Qualifications* PhD in materials science, mechanical engineering, or a
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You will work in an interdisciplinary team at Radboudumc, consisting of the Department of Nephrology and the Computational Pathology Group (CPG ) within the Department of Pathology . The Department
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. This Collaborative Award is investigating the evolutionary mechanisms of resistance to ciprofloxacin during treatment for chronic lung infections caused by Pseudomonas aeruginosa. The overarching goal of the project
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the 36 months immediately before their date of recruitment. Must fulfil the conditions for enrolment to PhD programme at the host institution. For details about the criteria, please refer to detailed
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program focused on uncovering fundamental mechanisms and therapeutic vulnerabilities of cancer metastasis using the most sophisticated experimental or computational approaches. MET-X is a dynamic research