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: Postdoctoral Researcher - Mechanical Engineering Position Type: Temp/Intern Location: Villanova, PA Recruitment Type: Internal/External Applicants Work Schedule: temporary Department: 205-Mechanical Engineering
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, lipid vesicles, polymer physics, active materials, single molecule biophysics, biomaterials, materials chemistry, fluid mechanics, rheology, and computational modeling. Candidates should apply at https
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genome-wide CRISPR functional screening in both mouse models and clinical samples. Working closely with computational biologists and clinicians, this interdisciplinary project offers an exceptional
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into mechanisms that cause illness, and promote good health. The Institute is responsible for teaching in basic medical sciences for the programmes of professional study in medicine and the Master's programme in
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The present offer, for which Aix-Marseille University will be the employer
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the elucidation of specific mechanisms of water-material interactions. Your tasks individual support for researchers across BlueMat in solving image analysis challenges, especially segmentation and quantitative
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. The T32 Training and Mentoring program brings participants to the Department of Psychiatry and Behavioral Sciences at the University of Miami for a two-year postdoctoral learning experience where they will
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experience in scholarly research and a strong commitment to excellence in education are encouraged to apply. A PhD in Materials Science, Optics, Physics, Chemistry, Electrical, Chemical, Mechanical, Civil
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Postdoc (f/m/d) in Irradiation Tolerance of Additive Manufactured Ferritic/Martensitic Steels for...
(Fe) and helium (He) ions are employed to simulate fusion-relevant damage mechanisms. The objective is to experimentally replicate effects such as hardening, embrittlement, and swelling, and to clarify
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biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and epigenetic mechanisms