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. During the selection process, candidates will be assessed upon their ability to: a relevant degree, for instance in applied math, transport science, computer science, machine learning, AI documented
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. The Assistant Professor will teach courses part of the Master's Programme in Physics – Meteorology and Climate Physics and, depending on their background, may also contribute to courses in related programmes
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data types (transcriptomics, proteomics, imaging). Knowledge on AlphaFold for models in structural protein analysis/proteomics AI/ML Applications: Applying machine learning or AI to predict gene function
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, or computer science. Documented experience in professional software development. Documented experience or interest in Artificial Intelligence and Machine Learning development, Proficiency in written and oral
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experience in software testing a plus. Documented experience or interest in Artificial Intelligence and Machine Learning development, Proficiency in written and oral communication in English Additional
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between KTH Mathematics and Nordita under the Wallenberg Initiative for Networks and Quantum (WINQ), offering a stimulating environment at the interface of mathematical statistics, machine learning, and the
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Applications: Applying machine learning or AI to predict gene function or discover functional relationships from perturbation data. Familiarity with proteomics-specific public repositories (e.g., PRIDE) and
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, and manipulation of high-dimensional imaging and mass spectrometry data Experience in designing and maintaining reproducible and scalable analysis workflows Solid foundation in statistics and machine
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existing omics and machine learning-based pipelines to process and postprocess this data. The Project Assistant will be encouraged and given the opportunity to lead their own project analyzing proteomics
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addition, according to Lund University's employment regulations, it is required for a senior lecturer to have completed at least five weeks of training in teaching and learning in higher education or to have