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, or PhD degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related fields. Experience in robotics software development using ROS/ROS2. Experience with robotic
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Details Title Postdoctoral Fellowship in Differentially Private Learning and Replicability School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer
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population genetics/genomics. The focus of this postdoc will be on the application of Ancestral Recombination Graphs (ARGs) for spatial population genetic inference. Our work combines computational and
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other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing
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that are relevant to industry demands while working on research projects in SIT. This role supports the Future Ship and System Design (FSSD) Programme, which aims to accelerate the decarbonisation and digitalisation
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quality of key relationships on students’ focal outcomes over time. Another goal of Project 3 is to explore how schools’ structures, programmes, and cultural practices affect the stability and change
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health, environmental science, computer science, artificial intelligence, data science, public health, epidemiology, geography, or another related discipline. Have strong research experience in artificial
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-performance computing and geochemical modelling to decipher atmospheric CO2 removal mechanisms over geological timescales. The research involves integrating surface process simulations with tectonic frameworks
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as Computer Science, Data Science, Transport Engineering, Maritime, Engineering, Applied Statistics, or Logistics. We particularly welcome candidates with experience in: 1) DT technology, ontology
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The Safety and Resilience Research Unit (SaRRU) at the NUS College of Design and Engineering invites applications for the position of Research Fellow (LLM for Design-for-Safety). The successful candidate will join the research project “Multimodal LLM-driven Intelligent Design-for-Safety Advisory...