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evaluate health hacks, and why some hacks are so persuasive, focusing on the interplay between individual characteristics, features of the online context, and cognitive processing during exposure
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[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
modelling from Project 1, we will conduct focus groups and interviews with communities in high- and low-risk zones to capture local knowledge, behaviours, and risk perceptions related to AMR. In parallel
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industrial uses. The recent focus of the group includes the development of: (i) rational design of dynamic polymer networks; (ii) (bio)material processing; (iii) organ perfusion and regeneration; (iv
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undergraduate and graduate education in bioinformatics. You will also be part of the SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS), a 12-year initiative aimed at
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project. The alliance partner is Chalmers University of Technology, Electrical Engineering, Signal Processing and Biomedical Engineering Division. Responsibilities and qualifications Do you have a
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education, pursuing their own research project during the mobility period, parallel to joining a research group and having a host supervisor at Lund University. For information about eligibility and selection
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parallel. 3. Real-Time Integration, Benchmarking, and Demonstration Implement and validate the reflex/habitual stack on the team's primary hardware (industrial robot arm, with stretch goals on quadruped and
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) and the Martinos Center for Biomedical Imaging (Harvard/ MIT /Mass General). In parallel, there will be opportunities to analyze and publish existing data upon identifying areas of mutual interest
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for reproducible, efficient and scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods, assessing
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trajectories using repeat imaging. The successful candidate will therefore be working primarily as an AI/image-processing researcher, developing deep-learning models for medical images. Job description The