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electrophysiology to translational models, including animal studies and analyses of human tissue samples. This full-stack methodology enables us to directly link molecular channel function with disease phenotypes
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on the development of anti-infective drugs and vaccines using the pig as a model platform. Main tasks will include the design, coordination, and execution of pig experiments, and assessment of drug and vaccine
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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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of millions of lakes worldwide. The successful candidate will create innovative solutions that significantly enhance large-scale environmental simulations and meaningfully advance the modeling of global lake
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contexts. Additional experience in industrial ecology, material flow analysis, and in particular energy systems modelling, simulation, and mobility will be considered a strong asset. The candidate shall be
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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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(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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pathways driving leukemic transformation during haematopoietic development. The successful candidate will use in vitro differentiation systems (ESC/iPSC) to model normal and malignant haematopoiesis