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) from waste feedstocks. Building on patented technology that converts plastic waste into carbon-tin (Sn-C) composite anodes, the project aims to establish the fundamental understanding needed
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and technologies. Knowledge of AI/ML is important, but the focus will be on the high-fidelity simulation environments, software networking bridges, and physical data collection architectures
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, women, protected veterans, and individuals with disabilities (including disabled veterans). If accommodation is needed for completing the application and/or with the interviewing process, please contact
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of the current grant. I.III - Eligible for grant assignment if meeting the requirements: a) Portuguese nationals or nationals of other EU Member States b) Nationals of third countries c) Stateless persons d) Benef
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Chemistry to conduct fundamental and applied research at the intersection of machine learning and computational chemistry. In this role, you will develop physics-informed, symmetry-aware models
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assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other related disciplines, with experience or keen interest in processing
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interaction, particularly under network constraints. Proficiency in working with hardware such as robot arms and software programming in C++/Python, ROS and MATLAB. Excellent command of English; German
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TensorFlow), Julia (including Flux.jl and CUDA.jl), C++. Preferred Qualifications: Experience in the development and maintenance of scientific computing software suites. Experience in development and
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) ● PhD (or foreign equivalent) in Applied Mathematics, Physics, Theoretical/Computational Biology
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physicists to translate physical layer constraints into efficient C/C++ control firmware. Evaluation: Benchmark the system against standard IP fabrics and publish results in top-tier conferences (SIGCOMM, NSDI