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of properties. The project will involve machine learning, and will be performed in close collaboration with the Department of computer science. We have a strong track record in the discovery of both 2D and 3D
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. The successful candidate will work on cutting-edge projects involving artificial intelligence (AI) and computational pathology, with a particular focus on developing and applying machine learning algorithms
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these datasets to detect chromosomal abnormalities and study their breakpoints. Using statistical methods and machine learning, we will explore how these structural variants arise and which recurring structures
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be taken into consideration. We are seeking applicants who have a doctoral degree in a relevant technical area such as AI, machine learning or similar. It is required that you have knowledge and
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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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these questions, we will determine RNA structures in vivo using cutting-edge transcriptome-wide RNA structure probing techniques that together with computational models and machine learning algorithms will generate
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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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Research expertise and background in data management and ML, knowledge graphs, graph neural networks and machine learning. Knowledge and experience in working with medical or clinical data is a plus Ability
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parental leave, sick leave or military service. The following experience will strengthen your application: Experimental atomic physics Optics Photonics Optomechanics Nanofabrication Nanomechanics Cryogenics
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the development of single-cell models, machine learning approaches based on cultivation data, and the integration of metabolic models with computational fluid dynamics of bioreactors. While our team consists