931 engineering-computation-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at Nature Careers
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team — comprising biologists, engineers, computer scientists, and medical researchers — develops next-generation computational models to interpret complex biomedical data across multiple scales. Our
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Laurentiis Info: clinical.to[at]ssmeridionale.it Cosmology, space science & space technology [SPACE] Coordinator: prof Salvatore Capozziello Info: space[at]ssmeridionale.it Genomic and experimental medicine
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to build Europe’s premier institute for AI-driven biological and medical research, uniting computer scientists, life scientists, and engineers in a collaborative environment that fuses the mindset and
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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are expected to perform research and teaching in the following areas: Mathematics, Physics, Chemistry, Materials Science, Energy Science, Energy Engineering, Optics, Computer Engineering, Integrated Circuits
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computing and advanced technology, driven by innovation, diversity, and a commitment to excellence. We’re creating an environment where brilliant minds from all backgrounds collaborate to push the boundaries
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! Education · PhD in computer science, engineering, applied mathematics, physics, or another STEM discipline. · Demonstrated experience with mathematical and numerical optimization methods
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institute for AI-driven biological and medical research, uniting computer scientists, life scientists, and engineers in a collaborative environment that fuses the mindset and agility of start-ups with
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, computer science and technology, intelligent science and technology, among others. (2) Talent System and Benefits Position Term of Employment (years) Annual Salary (CNY, pre-tax) Researcher 5 500,000-600,000
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scientific field (e.g. computer science, data science, mathematics, statistics, engineering, physics, or related). Provable deep learning track record and practical expertise (e.g. with VAEs, GANs, diffusion