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) Position Description: Apply Position Description The Center for High Order Plasma Turbulence Modeling for Z-Pinch (HighZ: https://highz-fic.github.io ), a Department of Energy (DOE), Predictive Science
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Programme? Not funded by a EU programme Reference Number AE2025-0601 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https
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aspects of theoretical chemistry. They will develop new approaches and algorithms for quantum chemistry and molecular dynamics, drawing inspiration from the opportunities offered by advances in quantum
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and communication systems. You will work with real measurement data and participate in both algorithm development and experimental validation. You will collaborate with industrial and academic partners
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, Elixir and Python. The Senior Research Associate role is expected to lead the investigation of the algorithmic aspects of these systems and the design and implementation of prototype tools for Erlang
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
Resiliência), through IAPMEI - Agência para a Competitividade e Inovação Workplan: In order to have a bimanual robot that acts as a fruit picking assistant, it is important to develop algorithms that provide
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for diagnosis and prognosis of different sarcomas. He/she will develop and train deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research
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and implementation of algorithms for optimal resource utilization. Installation and evaluation of the quantum network and integration of quantum and classical cryptographic systems. Research and
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the Generative Flow Network (GFlowNet) algorithm. We plan to further enhance this algorithm to consider the shape of biological binding sites and incorporate modules for optimizing physicochemical properties
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composites To propagate uncertainty in material behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help