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Field
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Your tasks: Developing optimization algorithms for massively parallel hardware architectures such as AI
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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance
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Range: $65,000 - $80,000 FLSA Status: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Sedlazeck Lab is seeking a highly motivated Staff Scientist with strong computational and
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Job Posting Title: Algorithm and Analysis Software Engineering Scientist Associate ---- Hiring Department: Applied Research Laboratories ---- Position Open To: All Applicants ---- Weekly Scheduled
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Optimisation methods, such as mixed integer linear programming, have been very successful at decision-making for more than 50 years. Optimisation algorithms support basically every industry behind
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Job Posting Title: Robotics and Autonomous System Engineering Associate ---- Hiring Department: Applied Research Laboratories ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40
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devices Data collection from human subjects as they use smart devices Design of machine learning algorithms to authenticate users GA Job Responsibilities: Participate in research projects related
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-focused hardware accelerators, FPGAs, optimized low-level algorithms, and experimental compilers. Duties: Execute on tasking given to support ongoing projects within the Advanced Computing Lab, which could
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 days ago
hospitalization (HH) services. The main objectives are to develop optimization models for staff scheduling that incorporate the distinctive characteristics of HH and address multiple objectives, and to create new
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the upcoming flood type, e.g. heavy-rainfall flood or rain-on-snow flood. As PhD candidate you will compare several machine-learning based algorithms regarding their ability to predict the flood type based