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Description Human brain aging is one of the main risk factors for the development of neurodegenerative disorders, therefore, understanding the molecular mechanisms behind healthy brain aging is extremely
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vitro models for mechanical loading of muscle cells, particularly using the FlexCell system. Omics techniques, including sample preparation for proteomics as well as data analysis and interpretation
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actively influence cancer development by signaling to tumor cells and promoting tumor growth. A central mechanism involves neuron-to-glioma synapses, which transmit neuronal activity to glioblastoma cells
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We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
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for transcriptional profiling of single microorganisms at ultra-high-throughput. We will apply it to investigate the biological mechanisms that drive infection, pathogenesis, and antibiotic resistance. This project
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collaborate closely with researchers across neuroscience, psychology, biomedical engineering, and clinical disciplines and will be involved in human lab experiments. Specific aims will be shaped jointly with
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clinical data in relation to relevant outcomes after COVID-19 infection to identify predictors of specific PCC subphenotypes and potential pathophysiological mechanisms. Since the project is translational
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data is therefore a merit. You are expected partly to implement and support already planned projects and partly to independently plan and implement projects, develop methods and support PhD students
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practice or other forms of appointment/assignment relevant to the subject area. A qualified applicant is required to have a PhD degree or a foreign degree that is deemed equivalent in Computer Science
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foreign qualification equivalent to a doctorate in computer science, mathematics, or engineering physics. Requirements: Comprehensive knowledge and practical skills in the field of data science, especially