372 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Sweden
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individuals from diverse backgrounds. A strong foundation in quantitative fields (e.g., mathematics, computer science, physics, engineering) or prior experience in computational neuroscience, machine learning
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Analysis, Image Analysis, Machine Learning and Computer Vision, as well as Mathematical Statistics, Probability Theory, and Mathematics Education. The degree courses lead to bachelor, master, and PhD degrees
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research is focused on the use of machine learning + AI tools as well as more classical but largest-scale equation-based mechanistic computational models together with patient data to create clinically
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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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on the use machine learning + AI tools as well as more classical but largest-scale equation-based mechanistic computational models together with patient data to create clinically predictive computational
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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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-capacity wireless communication solutions. As part of a cross-disciplinary team, you will be expected to present your research results at project meetings, co-supervise PhD students, and contribute
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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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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PhD in electrical engineering (or related field), with specialization in radio localization, radar, sensing, signal processing, or machine learning Have completed your PhD no more than three years