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collaborators in computational biology, machine learning, and imaging-based profiling. The position involves leading independent research projects at the interface of machine learning and biology, with a strong
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office that gives support for commercialization and external collaboration. Read more here. Uppsala University offers one of the country’s best educations in chemistry, with strong links to world-leading
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focus. Within the framework of the projects, we will collaborate with researchers in Sweden, Europe and the USA. For this purpose, we are looking for a postdoctoral fellow with previous experience in
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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-specific immunotherapy. The research group conducts experimental and translational research in close collaboration with specialists at Skåne University Hospital. The team collects samples of allergic
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visualization and scientific communication Extensive knowledge of relevant machine learning and AI techniques Exceptional collaborative abilities Self-motivated individual with ability to work independently
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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of Medical Biosciences, which offers an international, collaborative, and open-minded research environment. Please visit the lab’s webpage for more information: https://erdemlab.github.io . The Erdem research
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. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in time and space, how this affects