12 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" uni jobs in India
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about the lab at: https://mbzuai.ac.ae/study/faculty/natasa-przulj/ and https://przulj-lab.github.io/ Qualifications PhD in Computer Science, Mathematics, Physics, Bioinformatics, or a related
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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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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
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applications for faculty positions in Computer Science. Faculty specialising in data science, machine learning (deep learning, reinforcement learning, multimodal learning), Generative AI, and computer graphics
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Title: Associate or Senior Editor, Nature Computational Science Organization: Nature Portfolio Location: Shanghai, Beijing, Berlin or Pune - Hybrid Working Model Closing date: March 20th, 2026 About
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2025 - 00:00 (Africa/Abidjan) Type of Contract Not Applicable Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Research, Optimisation including Optimal Control, Information Theory including Coding Theory, Cryptography, Quantum Computing, Financial and Actuarial Mathematics, Mathematical Economics, Mathematical and
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can think on their feet. We are looking for a candidate with experience in computational neuroscience or neuroimaging. The responsibilities include: Handling original research papers, and working
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, multimodal sensing, 3D packaging) Alternative Computing (neuromorphic, chaos-based approaches) Apply via IISc’s portal: https://www.cense.iisc.ac.in/opportunities/ CeNSE actively encourages applications from
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dynamics, kinematics, acoustics/vibrations, fluid–structure interaction, control, or other mechanics-driven domains. Experience with applied computational methods and machine-learning–based modeling