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(e.g., shopping malls). Located at the intersection of machine learning, robotics, and acoustic signal processing, the project will bring together a highly interdisciplinary team of researchers, industry
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models and pharmacological methods to study the role of key signaling pathways regulating neuroinflammation and neuronal survival and function. The Post Doc Fellow will assist the Principal Investigator
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Large Language Models Natural Language Processing (NLP) Deep Reinforcement Learning Theoretical Foundations of Deep Learning and AI Optimization Techniques in Machine Learning Collaboration and Mentorship
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signal simulation frameworks for BSL gestures. Process skeletal motion data to drive simulation pipelines. Conduct radar experiments to calibrate and benchmark simulation outputs. Write academic papers
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addition to annual leave, the Research Fellow may apply for leave to undertake research and fieldwork overseas, subject to the approval of the CIL Director. Application Procedure Application should be submitted online
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-based data using SPSS Complex Samples and Mplus - Draft and lead the submission process for academic papers related to migrant and 2SLGBTQ+ youth health - Supervise research assistants and trainees who
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application process, please email ORISE.ARS.Midwest@orau.org and include the reference code for this opportunity. Qualifications The qualified candidate should be currently pursuing or have received
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to join our dynamic team. This exciting role will involve: Designing radar sensors for advanced applications Processing radar signals and developing innovative RF circuit designs Conducting data collection
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, the department hosts seven PhD candidates affiliated with various research groups and academic communities. The research group PrePast focuses on modern historical processes in the High North and the Arctic. A
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system for rehabilitation of stroke patients. The candidate will be working with recording and analysis of electromyography and electroencephalography signals in order to detect the intention to reach and