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Field
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voluntary benefits. Most coverage begins as of your start date. Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness
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Department: Department of Machine Learning and Data Processing – Faculty of Informatics Deadline: 14 Jul 2025 Start date: preffered September 2025 / by mutual agreement Job type: full-time Job
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the polymer matrix while preserving the quality of the fibres. Information about the division and the department The position is based in the Division of Materials and Manufacture at the Department
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. The successful candidate will be expected to assist with the commissioning of a new shock tube facility and will conduct fundamental experimental research related to multiple ongoing projects, including
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Mohadeseh Taheri-Mousavi’s group. The postdoc will develop and conduct advanced machine learning techniques combined with computational research to study the mechanical behavior of welds. Responsibilities
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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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participate in knowledge exchange with public authorities and industry and will be involved in teaching and supervising students at the BSc, MSc, and PhD levels. Qualifications for a postdoc position: Academic
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junior team members (e.g. placement students), interdisciplinary collaborations with academic and industry partners involved in the project and public and patient engagement. This post is based in
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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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