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19 Mar 2026 Job Information Organisation/Company ILLINOIS INSTITUTE OF TECHNOLOGY Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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19 Mar 2026 Job Information Organisation/Company ILLINOIS INSTITUTE OF TECHNOLOGY Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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19 Mar 2026 Job Information Organisation/Company ILLINOIS INSTITUTE OF TECHNOLOGY Research Field Computer science Mathematics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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19 Mar 2026 Job Information Organisation/Company ILLINOIS INSTITUTE OF TECHNOLOGY Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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Mathematics (PDEs, Operations Research, Optimisation including Optimal Control, Information Theory including Coding Theory, Cryptography, Quantum Computing, Financial and Actuarial Mathematics, Mathematical
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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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website at https://casia.zhiye.com/4/jobs Contact Us: Dr. P Y Chen Tel: +86-10-82544657 E-mail: talent@ia.ac.cn Address: No. 95 Zhongguancun East Road, Haidian District, Beijing, 100190 CASIA Official
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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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to sustainability research to join Communications Sustainability (https://www.nature.com/commssustain/ ). Communications Sustainability is a multidisciplinary open-access journal publishing high-quality research
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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