301 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Nature Careers
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cell fate and circuit formation in developing Drosophila brains. The lab combines a variety of cutting-edge experimental and computational techniques including single-cell RNA and ATAC sequencing
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experimentalists and computational groups. You will be expected to present your results at local and international conferences. Your profile Applicants should hold a PhD in data science, computer
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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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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
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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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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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scaling and generalization behavior Roll out the model to the global user community Requirements PhD or MSc in computer science, physics, mathematics or a related discipline Experience with large-scale HPC
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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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Division of Pediatric Hematology and Oncology, Department of Pediatrics and Adolescent Medicine, Medical Center – University of Freiburg offers the position of a PhD candidate or Postdoctoral
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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