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on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related discispline. You
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Lecturer and Senior Lecturer in Computer Science, Computer Engineering and Information Security The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning and
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an outstanding track record or strong interest in the fields of antibody design, structural biology, AI/machine learning, or immuno-oncology, we invite you to apply with a project proposal for a position in our
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computational modeling and/or analysis of complex biological systems, integrating state of the art tools such as machine and deep learning approaches. Experience in managing biological databases and statistical
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, lubrication and wetting, biophysics as well as machine learning or metamaterials. For experimentalists, we particularly interested in applicants aligned with our existing research infrastructure and
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that integrate machine learning with energy system optimization to make such policy optimization possible. The analysis will include policies for EV adoption, EV charging infrastructure, and electricity pricing
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including power and energy systems, wireless and photonics systems, semiconductors, RF, and devices, AI and machine learning, advanced computing, cyber-physical systems, and bioengineering. The department is
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developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra. Desirable: - knowledge in the field of Planetary Sciences - very good written and spoken English (C1
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tools and manually operated equipment. Instruct PSMS staff on the programming and operation of 3, 4, and 5 axis machine tools. 3, 4, and 5 ? Axis CNC Programming and Fabrication (20%) Develop CNC programs
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be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in Electrical or Computer Engineering Knowledge about Deep Learning