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materials weighing up to several pounds (such as a laptop computer or tablet). Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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innovative, interdisciplinary projects. Using both in vitro and in vivo models, the successful candidate will perform functional validation of candidate genes and advance our mechanistic understanding
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evaluation of high-performance light microscopy experiments coordinating the smooth operation of the facilities, including instructing users in the operation of the imaging and biophysics facilities
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datasets, performing statistical analyses and machine learning approaches to identify biomarkers of treatment responses. The candidate will also develop and implement bioinformatics pipelines in a high
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the Institute for Imaging and Analytical Technologies (I2AT), NMR and X-ray crystallography facilities, AAALAC-accredited animal facilities, and the High Performance Computing Collaboratory (HPCC). Equal
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vigorous, innovative, externally funded, and independent research program. Evidence of excellence in research will be demonstrated by a record of publications in top-ranked and field relevant academic
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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transcriptomics, graph-based modeling, or deep learning will be considered a strong advantage. Familiarity with Linux/Unix environments, version control systems (Git), and high-performance computing is desirable
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the Faculty of Medicine, the Erlangen National High-Performance Computing Center (NHR@FAU), the Max Planck Institute for the Science of Light, and the Max-Planck-Zentrum für Physik und Medizin, and we also