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., anti-inflammatory, antioxidant, antimicrobial activity) to rapidly identify and prioritize the compounds or compound classes responsible for the observed biological effects. Where to apply Website https
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) Corrosion behavior (electrochemistry & high-temperature oxidation) In-situ monitoring of AM processes Computational skills in: Phase-field modeling, Machine Learning, FEM, DEM, COMSOL Alloy design (CALPHAD
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Expertise in FEM software (ABAQUS, ANSYS, SAP2000) and coding (Python/MATLAB). Professional engineering licensure (HKIE/CEng) or eligibility is a plus. Candidates for Professor or above should have
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field. Knowledge in FEM (including programming thereof) is required. You will need strong written and verbal communication skills in English. You will be expected to take on responsibilities within
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popularizing knowledge. Where to apply Website https://po.edu.pl/oferty-pracy/ Requirements Research FieldEngineering » Mechanical engineeringEducation LevelPhD or equivalent Skills/Qualifications Additional
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; Experience in handling parameters from device characterisation and models for device simulation (FEM, noise and power). Personal Skills Strong problem-solving skills, creativity, and ability to work
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data-driven numerical simulations using FEM and DEM to enhance track design and maintenance decisions. Intelligent Decision Support System: developing an intelligent system integrating inspection records
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
mechanism. Participate in community activities around SOFA (technical workshops, open-source exchanges). Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09537 Requirements Skills
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process fabrication options (BCD or SOI); Knowledge on open source EDA tools and design kits, and FEM tools. Personal Skills Strong problem-solving skills, creativity, and ability to work independently in
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https://cordis.europa.eu/project/id/101227649 . This Doctoral Candidate will be hosted by KTH Royal Institute of Technology, a beneficiary organisation in the ENDURE network, and will be supported by