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tendon models ("tendon-on-chip"), this will provide a powerful system to investigate the complex mechanobiology of tendons. Particular focus will be given to neurotendinous crosstalk and its
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transduction, cell culture, and immune functional assays; supporting the development of in vivo models, such as adoptive T-cell transfer in mice, for preclinical testing of engineered circuits where relevant
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(multiomics), CRISPR genome editing, deep learning, network modeling, confocal and two-photon live imaging. Please visit the Özel Lab Website for more information. Ideal candidates will be highly motivated and
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of how hotspots in human and marine mammal presence are distributed in affected areas. Acoustic ship models will furthermore help to understand and gauge the acoustic footprint of ships in various types
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demonstrated by first author publications. Experience working with mouse models of cancer, immune-oncology approaches and other advanced models and functional genomics techniques (shRNA, CRISPR, deep-sequencing
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are seeking a motivated and enthusiastic colleague with strong computational skills in the analyses of complex data sets to join our teams. About the project We have generated advanced brain on chip models
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and/or insect cell culture. Prior experience with single-molecule biophysical techniques, GPCR biology, or quantitative modeling. Significant contribution towards peer-reviewed research articles in
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Python is required. Programming in C or C++ is a plus. Background in statistical genomics, longitudinal modeling, non-parametric statistics, machine learning and deep learning are preferred and encouraged
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and in silico techniques. informatics/AI modeling approaches. identifying new therapeutic targets for chronic disease. Key responsibilities include : planning, organizing, performing, and monitoring
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approaches are integrated with behavioural studies, large-scale data analysis, biophysical modelling, multi-omic profiling, and collaborative human fMRI studies to build a comprehensive understanding of brain