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, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as
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of the data used in their computation. We want to understand the fundamental principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with
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principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with several national and international research groups, edits one of the major
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combining genetic, physiological, and behavioral approaches, the study will dissect how hypoxic cues are detected and translated into changes in feeding behavior, providing mechanistic insight into how oxygen
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to the subject area. Applicants must have documented research experience in molecular genetic approaches, fluorescence microscopy, mammalian cell culture, and intracellular infection models. Experience in
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of appointment/assignment relevant to the subject area. The doctoral degree should be in in plant molecular biology, genomics/bioinformatics, systems genetics, or closely related field. Demonstrable expertise in
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in advanced imaging techniques Cell culture experience Genetic laboratory work together with basic molecular biology techniques Lentiviral vector handling Confocal and fluorescence microscopy Light
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need to have profound practical research experience in the following areas and methodologies: Work with human cell cultures, work with intracellular bacterial pathogens Molecular genetic techniques
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SciLifeLab. The research group is based at the Department of Medical and Translational Biology at Umeå University, which hosts strong research environments in cancer, genetics, neuroscience, metabolism, and