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In partnership with and in support of administrative stakeholders, the Business Information Technology team designs, develops, configures, enhances, optimizes, and maintains products and platforms
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/ODE solvers, Monte Carlo methods). Working knowledge of optical, analog in‑memory, or neuromorphic computing. Prior experience in algorithm–hardware co‑design (co‑optimization of architectures
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Researcher in the field of additive manufacturing and computational design, focusing on topology optimization and residual stress modeling of Ni₃Al-intermetallic based alloys alloys produced via laser powder
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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The LIT - Leibniz Institute for Immunotherapy (foundation under civil law) (https://lit.eu/ ) – is a biomedical research centre focusing on translational immunology in the fields of cancer
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predictive control, optimization-based decision frameworks, and data-driven performance modelling. The overall goal is to develop computational methods that enable efficient and intelligent operation of wind
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Per Week 38,7 Offer Starting Date 1 May 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101227683 Is the Job related to staff
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optimize patient care. The project will be carried out through plenary and small-group meetings held via Zoom. Where to apply Website https://pica.cineca.it/unipd/ Requirements Additional Information
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 8 days ago
-time Hours Per Week 15 Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2026/0085 Is the Job related to staff
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research focuses on the study and optimization of the Laser Powder Bed Fusion