577 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers
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to integrating computational simulation, data science, and deep learning technologies to deeply explore structure–property relationships in materials. Its goal is to drive the precise design and development of new
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, running expenses, and competitive start-up packages. Additionally, the successful applicant is expected to acquire external research funding. Zurich's scientific environment encompasses a rich spectrum of
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that ingest raw on-chain data (blocks, transactions, smart-contract events) from public blockchains into research-grade databases Developing statistical, graph, and/or machine learning models to study
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Neuro-Oncology Pharmaceutical Psychosocial Infectious Diseases Fellows receive a professional development allowance, research allowance, a personal computer for use during the fellowship, tuition
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Engineering and Materials & Process Engineering. Close collaboration with our neighbouring Departments (Biosciences, Food, Agroecology, Chemistry, Mechanical Engineering, Electrical & Computer Engineering
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productivity Prior research experience in primary or induced neurons is a plus. Successful applicants are expected to demonstrate a high level of independence, a willingness to learn new approaches and
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well as facilitate learning and knowledge sharing across the agency. The successful candidate will have: Advanced technological knowledge and experience in Nuclear Magnetic Resonance (NMR) spectroscopy, including
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Job description: The University of Vienna is a cosmopolitan hub for more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that
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. St. Jude trainees are able to learn from clinical and basic science investigators who work in close proximity and interact regularly to translate scientific discoveries into improved therapies
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immunological science into next-generation therapies for pediatric catastrophic diseases, as evidenced by the ongoing efforts to develop gene-edited CAR T cell therapies for pediatric cancer by integration and