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mechanisms of insulin resistance, with particular emphasis on the role of the sympathetic nervous system (SNS) in metabolic homeostasis. The work of the lab challenges the conventional paradigm by
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outputs Contribute to ethics submissions, governance processes and regulatory requirements Collaborate with academic, clinical and consumer stakeholders across the project Support supervision and mentoring
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take approaches combining mouse developmental genetics, cell-type-specific viral tracing, ex vivo electrophysiology, opto/chemogenetics, in vivo imaging, single-nucleus RNA sequencing (snRNA-seq), and
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leading journals and conferences. About you · a PhD in Materials Science and Engineering, Physics, Materials Characterisation, Computational Materials Science, or a closely related discipline
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using Machine Learning who has: strong experience in signal processing, machine learning or a related field a PhD (or near completion) in signal processing, machine learning or a related field experience
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using immunohistochemistry, confocal imaging, whole-cell patch-clamp electrophysiology, and mouse tissue processing to investigate how neural circuits, synaptic physiology, and neuroinflammatory pathways
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meetings, contribute to grant applications, and build an independent research career in cancer immunology and neuro-oncology. Minimum Requirements PhD, MD, MD/PhD, or equivalent doctoral degree in immunology
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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Infrastructure? No Offer Description Full time, fixed term for 2 years with the possibility of extension Join the School of Electrical and Computer Engineering and contribute to pioneering research redefining
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treatment resistance in ovarian cancer. Vähärautio lab (https://vaharautiolab.org/) at the Medical Faculty, University of Helsinki, is seeking a bioinformatician or a computer scientist with strong