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) strategies, primarily revolving around interpretable ML and generative AI, to study complex biological processes. This project combines timely analytical challenges with deep rooted applications in life
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organization of courses and workshops in digital image processing and analysis with life science applications. What we offer A position at a leading technical university that generates knowledge and skills for a
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knowledge should undergo such training within the first two years of employment. Assessment criteria In the appointment process, special attention will be given to research and teaching skills. The assessment
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to address missingness in mass spectrometry imaging (MSI) of brain tissue. The missingness can happen along two dimensions: spatial (super resolution) and feature (data imputation). Enhancing the quality
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, electrical impedance spectroscopy, optical microscopy and image analysis. The candidate will be immersed in the thriving environment at SciLifeLab, Solna, a collaborative hub for experimental and computational
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includes image data processing/analysis and writing project reports. Qualification requirements Required Qualifications PhD in molecular biology or equivalent competence. Experience working in a laboratory
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methods that use light to explore biological systems and processes at the molecular, cellular, and tissue levels. It includes experimental light microscopy and image analysis, such as super-resolution and
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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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research school. Data driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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complementary cytosine-rich sequences. These intricate structures are thought to function as critical protein-binding sites, influencing essential processes such as transcription, replication, telomere stability