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Field
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, longitudinal modelling, machine learning and multivariate approaches. Proficiency in programming (e.g., MATLAB, Python, or R), handling large datasets, and working with complex analysis 2 pipelines is an
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controllers for complex systems that are safe and verifiable by design. Information Neural networks can provide the flexibility needed to control increasingly complex dynamical systems, but their opaque and
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activity in vitro; basic knowledge of bioinformatics, molecular modelling and docking and/or structural analysis of protein–ligand complexes, as well as the ability to use in silico results to guide
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and profile: an MSc degree in the Natural Sciences (e.g. Earth Science, Biology, Ecology, Physics) or Engineering; experience with modelling, quantitative data analysis and programming; strong
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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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, protein translation, RNA replication, lipid metabolism, replication complex assembly, viral secretion, and innate immune control of infection. Job Summary The Research Technical Assistant will join the
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technologies. You will work at the interface of data science, imaging technology and biomedical research, developing analysis strategies for complex real-world datasets ranging from preclinical experiments
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models that includes breeding colony management and genotyping. Performs advanced 3D and spatial imaging (confocal, LSFM, Xenium spatial transcriptomics) and associated computational image analysis
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Welcome to Maastricht University! How does the human brain transform complex natural sounds into meaningful percepts, and can artificial neural networks help us understand this process? Join the
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provide faculty-level scientific continuity, lead experimental strategy, coordinate studies across collaborators and core facilities, troubleshoot complex leukemia models, interpret integrated datasets, and