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positions in Computer Science. Faculty specialising in data science, machine learning (deep learning, reinforcement learning, multimodal learning), Generative AI, and computer graphics are especially
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
for Materials Science, AI for Life Science, and Computational Mathematics. We welcome candidates whose research aligns with these directions and who are eager to contribute to an open, cutting-edge, and cross
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- Program Specialist 2 Business Title: Program Specialist 2 Employee Type: Classified Position Details: The Opportunity: Are you detail-oriented, organized, and passionate about public service? As a Program
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The Air Force Science & Technology Fellowship Program (AF STFP) provides nationally competitive fellowship awards for postdoctoral and senior scientists. Selected individuals have the unique
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of OMIC's data integration infrastructure. Requirements PhD or equivalent in bioinformatics, computational biology, microbial genomics, environmental sciences, or related fields. Postdoctoral experience with
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have extensive background training (e.g., relevant MSc and PhD degrees) and knowledge to innovate in omics-enabled NAMs and continually demonstrate ingenuity in producing results for our clients. Our
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
environment. Outstanding applicants in other closely related fields are also encouraged to apply. School of Electronic and Computer Engineering The School of Electronic and Computer Engineering (SECE
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Shiv Nadar Institution of Eminence | Vidyut Nagar Gautam Buddha Nagar, Uttar Pradesh | India | 10 days ago
10 Oct 2025 Job Information Organisation/Company Shiv Nadar Institution of Eminence Department Physics Research Field Physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical