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large family of membrane proteins involved in numerous physiological processes. By leveraging machine-learning enhanced virtual screening, the PhD student will be able to perform searches for ligands in
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when it develops protection upon vaccination. This will require further developments of machine learning methods of the transparent type. The PhD student is expected to be involved both in building
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image analysis and AI Published research articles in radiological AI PhD in medical image analysis and machine learning About the employment The employment is a temporary position of 6 monts. Scope
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the work at the university. Qualifications Required: Higher-education degree including subject specialisation (in-depth study of a subject) in computer science, computer systems or information technology
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, and machine learning. Duties Responsibilities may include: Develop new computational, machine learning, and statistical analysis methods for integrating and analyzing large-scale, spatially resolved RNA
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. For this position, a PhD in computer science, signal processing, applied mathematics, machine learning, biomedical engineering, or an equivalent degree in a related field is required. We require documented knowledge
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place great importance on personal suitability as well as motivation and the ability to independently conduct research studies. Previous experience in modeling and simulation, machine learning/AI, high
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part of the duties. Required qualifications To qualify for appointment as a senior lecturer, you must have been awarded a PhD in statistics or have equivalent research competence, have demonstrated
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applies finite-field density functional theory (DFT)-based and machine learning (ML)-accelerated molecular dynamics (MD) simulations recently developed and applied in the TeC group at Uppsala (https://tec
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development of society in general that is important for the work at the university. Qualifications Required: PhD in mathematics. Research Expertise and Teaching Expertise. It is necessary that the pedagogical