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Field
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change on new architectures will be a key focus. Position Requirements Required skills, knowledge and experience: A recently completed (within the last 0-5 years) or soon-to-be completed PhD. in
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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
, vectorization, and GPU porting. - Investigate new programming models to achieve performance portability. - Analyze code performance on various recent CPU and GPU architectures. - Enhance software engineering
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four other departments, including public health science, landscape architecture, landscape engineering, urban and regional planning, property development and property law. The Faculty has 1300 students
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relating to housing provision, patterns of living and community enhancement Additional Information Eligibility criteria Mandatory: *PhD in social sciences, social policy and justice, civil engineering
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12 Mar 2025 Job Information Organisation/Company CNRS Department Institut d'électronique et des technologies du numérique Research Field Engineering Physics Technology Researcher Profile Recognised
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. Project description You will be part of the EU project ELASTIC and contribute to the development of the architecture, protocols and core components for the project. In ELASTIC, research is being conducted
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should hold a relevant PhD/DPhil, or be near completion, in electrical engineering, economics, applied mathematics or another related area. (For candidates with an undergraduate/master’s degree, there is
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universities. analyse various vehicle architectures and configurations with special emphasis on the two-stage-to-orbit (TSTO) vehicle based on LOx-methane cryogenic liquid propulsion, engine clustering, low
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familiarity with DMS and DERMS functionalities and architectures; evaluate and enhance operational schemes under high DER penetration. Model microgrids in distribution networks including dynamic and steady
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to the application deadline. PhD in computer science, electrical engineering, biomedical engineering, or a related field. Experience in Python programming, natural language processing, and multimodal deep learning