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                Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering, to perform cutting-edge research on projects centered around machine learning models for Computer Aided Design and Engineering 
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                the following: fracture mechanics, hydrogen/materials interactions, electrochemistry, advanced material characterisation, or computational modelling Excellent communication skills in spoken and written 
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                Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 3 days agoProgramme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Starting date: 01.02.2026 
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                23 Oct 2025 Job Information Organisation/Company Université de montpellier Department Biomechanics Research Field Engineering » Biomaterial engineering Engineering » Mechanical engineering 
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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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                Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The soil mechanics of LEMTA is seeking a full-time 
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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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                Mechanics, Civil Engineering, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of computational mechanics and computational geomechanics. Preferred 
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                . The candidate will contribute to the mechanical design, composite fabrication, and experimental validation of UAV structures, integrating morphing wings and additive manufacturing processes for high-performance 
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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