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infection. For more information, please see: https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will you be part of that change? Then join us in this
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. You may propose your own topic within the theme or start from one of the following directions: Uncertainty quantification, calibration and reliability of large pre-trained models Probabilistic
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/ Careers / Doctoral student in Infection Biophysics and Microengineering School of Engineering Sciences at KTH Project description Third-cycle subject: Biological Physics The Hannebelle Lab at the Division
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collaborative project L2Bridge, which is supported during five years by a donation ( https://www.lu.se/artikel/storsta-donationen-till-lunds-universitet-i-modern-tid) from the Berta Kamprad Foundation
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a Master’s degree in computer science, image analysis and machine learning, engineering physics, data science, applied mathematics, molecular biotechnology engineering, or another related field; or
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develop methods within one, or multiple, of the following categories: Optical engineering, fluorescence microscopy, image analysis: Development of microscopes, fluidics, and data
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resistance is therefore crucial for the development of more effective treatment strategies, biomarkers for risk stratification, and individualized therapies that can improve patients’ survival and quality of
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The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans the breadth of computing disciplines. Our internationally visible research
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information on the SciLifeLab Fellow programme, see https://www.scilifelab.se/contact/fellows/. SciLifeLab Fellows are also part of a broad national network of future academic leaders within SciLifeLab
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science applications. It is an arena where experts in computational science, data science and data engineering (systems and methodology) work closely together with researchers in (data-driven