471 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD research jobs
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: https://unipv.portaleamministrazionetrasparente.it/pagina874_tc - 3_concorsi-per-ricercatori.html Candidates must submit their application online only at the following link: https://pica.cineca.it/unipv
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: https://unipv.portaleamministrazionetrasparente.it/pagina874_tc - 3_concorsi-per-ricercatori.html Candidates must submit their application online only at the following link: https://pica.cineca.it/unipv
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at the latest on the deadline of this call. Requirements LanguagesENGLISHLevelExcellent Additional Information Additional comments The full text of the call of proposal can be found at the following link: https
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to arrival to settlement – and instead approaches mobility as multi-directional, recursive, and contingent. Further details are available on the website of the project at this link: https://migrationtime.eu
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at the latest on the deadline of this call. Requirements LanguagesENGLISHLevelGood Additional Information Additional comments The full text of the call of proposal can be found at the following link: https
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) Developing machine-learning based exoskeleton controllers to work across tasks 2) Designing and validating new robotic lower-limb prostheses 3) Exploring other high-risk high-reward research areas related
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++, Python, and JavaScript languages, multi- and many-core SoC, RISC-V, hardware synthesis, hardware-software co-design, (meta-heuristic) optimization algorithms, machine learning frameworks, (bonus topics
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preparation platform, SSMIM - Resources provided (equipment, IT, etc.): Computer workstation, binocular magnifying glass, analytical equipment (IRMS mass spectrometer) Where to apply Website https
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and many other benefits: https://www.tul.cz/univerzita/uredni-deska/kariera/benefity How to log in please send the documents requested below to the following e-mail address: volnamista@tul.cz by
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will develop novel ligands for a validated drug target in acute myeloid leukemia. Building on our promising preliminary results, you will optimize and expand the hit discovery using computer-aided tools