290 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Nature Careers
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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collaboration with our clinical colleagues for investigating visual motion in a group of healthy subjects. The successful applicant holds a PhD degree (or equivalent) in a relevant academic area such as applied
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
departments at the Faculty of Technical Sciences at Aarhus University. Our vision is to be a world-leading department for research, education and innovation in electrical and computer engineering, creating a
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to systematically understand cancer biology, identify diagnostic and prognostic biomarkers, and improve cancer therapy. Projects will involve the development of AI solutions, including machine learning, deep learning
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vision, IoT sensors, and blockchain to monitor food quality, safety and animal welfare in real-time and enhance transparency. AI and machine learning will analyse data from pilot sites to identify
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contact both, and Your profile PhD in Information Systems, Computer/Data Science, Software Engineering, Applied Mathematics, or a related field Experience in publishing high-quality research, as
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-of-the-art in SLAM, situational awareness, computer vision, machine learning, robotics, and related fields Developing and implementing innovative solutions, validated through real datasets and experiments
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care. At BRI, each individual is valued as an important contributor to our vision and mission. Consider making a difference by joining our team. Because together, we are powering possibility. To learn
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program). Your qualifications A PhD in psychology or a related field. Knowledge of loneliness research, preferably with a focus on interventions. Experience with literature reviews and quantitative methods
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(data assimilation, machine learning, etc.) Writing proposals / securing external research funding Writing and submitting scientific papers Leading a research group Supervising students Participating in