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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
(PETs) and privacy assessment functionality based on MAGNET scientific advances By default all developed software will be open-source. Tasks may include developing algorithms, e.g., cryptographic
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Dr Maria Secrier and be embedded within the dynamic and collaborative research environment of the UCL Genetics Institute. The position offers a unique opportunity to work at the interface of cancer
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limited to, quantum algorithms and simulation, quantum error correction, open quantum systems, quantum computing, quantum communication, quantum sensing, and quantum tomography. In accordance with USCIS
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, characterization, optimization, and autonomous decision-making. Advance Bayesian optimization, active learning, machine learning, scientific models, genetic algorithms, and AI agents in physical laboratory systems
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demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development. Responsibilities will include programming
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, and multi-omic molecular profiling, including genetics, transcriptomics, microbiomics, metabolomics, and immune system markers. The division leverages this data and advanced AI, medical, and
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, Algorithm Design. Competencies, Skills and Knowledge Essential Fluent in English, both written and verbal. Able to operate within Heriot Watt University Malaysia and liaise closely with other campuses
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. Develop motion-planning, task-planning, perception, control, and feedback algorithms for operation in complex laboratory environments. Integrate robotic manipulators with cameras, force/torque sensors
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Inria, the French national research institute for the digital sciences | Gif sur Yvette, le de France | France | about 17 hours ago
proximal optimization algorithms to solve it. Understand the principles of HM-CARS imaging and the challenges of data processing for muscle disease characterization. Explore the dataset and implement
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and efficiency of life sciences research. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling