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Field
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strategies, and cross-functional collaboration — shaping the future of quantum computing. We holistically address business-relevant challenges using innovative quantum computing algorithms and demonstrate
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algorithms proficiency in both general-purpose programming (e.g., Python) and scientific computing, with a preference for experience in Julia Experience in writing up research work for publication Highly
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, especially Python, Java, C. Knowledge in software engineering, data structures & algorithms, computer organization, artificial intelligence & machine learning is a plus. More Information Location: Kent Ridge
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Requisition Id 15000 Overview: We are seeking an Associate R&D Staff member who will focus on algorithmic tools for process monitoring, diagnosis, and control. This position resides in the Sensors
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sitting within a leading programme of clinical, health and bioinformatics at the South London and Maudsley (SLaM) Biomedical Research Centre (BRC) and forms a key component of both the Centre
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openness to interdisciplinary collaborations Expertise in some area of computer science such as computational complexity, algorithms, data structures, logic in computer science and AI, semantics, theory
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University of Massachusetts Medical School | Shrewsbury, Massachusetts | United States | about 6 hours ago
healthcare program this is an excellent opportunity for you. Are looking for a hybrid schedule, state benefits, and meaningful work? Come join our team. GENERAL SUMMARY OF POSITION: Under the general
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systems, including their reliability and resource efficiency during production and operation. To support our team, we are looking for a working student in the field of “Classical and Quantum Computing
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Science Specialist will: 1) review empirical data and algorithms applied to the price, end-use, fishing effort and layer 3 databases and develop code that imputes missing data to complete gaps in
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, and language modeling. Students will acquire hands-on experience by implementing models such as clustering algorithms, automatic text categorization, and experimental evaluation. As an introduction