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Requisition Id 14631 Overview: We are seeking a Postdoctoral Research Associate who will focus on research on materials joining and allied manufacturing processes, with an emphasis on AI/machine
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Postdoctoral Researcher Position in Digitalization of Metal Additive Manufacturing and CO2 Impact...
Manufacturing (MAM) and CO2 Impact Analysis. This position is part of the REFUMA project (REmanufacturing by reFUrbished hybrid MAchinery), which focuses on demonstrating and advancing hybrid manufacturing
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At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in
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program in the areas of computational mechanics and/or heat and mass transfer related to manufacturing. Modeling work can be mechanistic, data-driven or hybrid, and novel applications would be welcome
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approximately 5,200 undergraduate students and 2,600 graduate students. The University's generous financial aid program ensures that talented students from all economic backgrounds can afford a Princeton
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Postdoc position in Materials Characterization for Additive/Subtractive Manufacturing and Sustain...
Interfaces in Additive/Subtractive Hybrid Manufacturing for Sustainable Refurbishment. This position is part of the CiP (Circularity in Production), which aims to develop and demonstrate hybrid manufacturing
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to have a remarkable impact on people's lives across several key therapeutic areas immunology, oncology, neuroscience, and eye care and products and services in our Allergan Aesthetics portfolio. For more
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students, teaching and supporting in acquiring funds for future research projects from research funding agencies/councils, EU framework program or industry. Qualifications In order to be eligible
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with high power / ultra-short-pulse lasers. Optical or Laser system design and development. System engineering principles and processes. Training in Computer Aided Design (CAD) & Modelling. Skills
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, or academic librarianship? Join the team of the Open Science & Data Collaborations program at Carnegie Mellon University Libraries to help foster a more open, reproducible, and collaborative research landscape