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biology: how sex chromosomes evolve, and what shapes sex ratios in natural populations. You will work with cutting‑edge methods in population genomics, bioinformatics and modeling, alongside a bit of hands
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement. Applications must include the following elements
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/or tissue. You have professional practical experimental experience in molecular biology work such as cloning, protein production or other related basic methods. You have strong communication skills in
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Join MultiD Analyses AB and the University of Gothenburg to develop innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through
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, depth and relevance, as well as elements of independent work, will be taken into account. We offer Lund University is a governmental authority, which means you get special benefits, generous holidays and
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, Computer Science, Data Science, Engineering, Physics, or equivalent Extensive (5+ years) experience of applying and/or developing advanced machine learning and AI methods in internationally competitive life science
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developing advanced machine learning and AI methods of relevance for internationally competitive life science research. Very good oral and written communication skills in English. Strong skills in cooperation
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of the position is method development. We are seeking a postdoctoral researcher to develop next-generation AI models of cellular dynamics, with a focus on scalable neural network architectures that represent
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) for life science research projects are important to understand the computational methods. Extensive (3+ years) experience of applying and/or developing advanced digital image analysis methods in the field