19 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at SciLifeLab in Sweden
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of research and development within the proposed project . Teaching duties up to 20% is included and this includes supervision of advanced-level students. Requirements PhD degree in Computational Science
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at least 1 million DNA barcodes. The project involves collaboration with a computer vision lab at Linköping University, focused on developing AI-assisted techniques for picking out specimens for genome
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systems, and machine learning. While the initial focus of the position is on this project, we offer significant opportunity for the applicant to develop their own independent research trajectory in
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and is part of the National Program for Data-driven Life Science (DDLS ), generously funded by the Knut and Alice Wallenberg Foundation. Our research is focused on the use machine learning + AI tools as
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a
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Join SciLifeLab PULSE (Program for future leaders in Life Science) to move your research career forward. Why PULSE? Empowering Diversity in Science: PULSE is committed to fostering diversity and
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and/or application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Tasks The tasks include primarily leading and conducting research
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are particularly interested in cancer-stroma interactions in pancreatic cancer. The long-term goal of our lab is to enable computer-aided design of precision cancer medicine. We are situated at the Science for Life
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, computer simulations and various statistical approaches to increase understanding of the ecological and evolutionary processes that underlie speciation and ecological diversification in the context
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across Sweden and beyond. At NGI, you will be part of a dynamic environment with access to a broad range of instruments, high throughput automation, and strong computational expertise (https