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writing/presentation Job Requirements PhD degree in an engineering field related to this project Experience in dynamic modeling, machine learning and optimization & controls Having basic knowledge in carbon
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The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is
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for the position of Research Fellow for the project Anticipatory Robotics. Project Introduction: The project titled Anticipatory Robotics aims to improve Human-Robot Interaction by developing a “Robot Body Language
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techniques (especially program synthesis) to improve the explainability and robustness of AI models Participating in co-operation with Continental’s development team Interacting with Continental business areas
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tasks such as data preprocessing, feature extraction, model training, and evaluation. Background in Generative AI reserach, including multi-modal LLMs. Background in AI Safety research, inlcuding AI
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tasks using impedance control Contribute to data analysis of force/torque and kinematic data Integrate key research findings in novel robot impedance control frameworks Publish research outcome in peer
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the fellow in training, setup, and execution of the project. Qualifications Candidates with a PhD in engineering, biology, biomedical sciences, or related fields are encouraged to apply. A strong background in
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. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data to support precision oncology research. The position aligns with
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photocatalytic degradation of Per- and Polyfluoroalkyl Substances (PFAS) with optimized COFs Look for necessary collaborations with internal or external collaborators (e.g. theoretical modelling and advanced
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adapt and change in response to aging and their physical microenvironment. This position offers an excellent opportunity to apply and expand TEM expertise in a collaborative research environment