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the controlled flow at tunable temperature and photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning
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charge which provide an ideal interface between human-built devices (where signals are carried by electrons) and biological systems (where signals are carried by ions). This research will cover theoretical
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including a cover letter (explaining background and motivation), a CV and transcripts (translated to English or German, if applicable) preferably via e-mail and as a single PDF file to: ausschreibung20-25
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including a cover letter (explaining background and motivation), a CV and transcripts (translated to English or German, if applicable) preferably via e-mail and as a single PDF file to: ausschreibung19-25
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, qPCR, digital PCR, amongst others. Sequencing data analysis will be done using data analysis pipelines (Python, R) on the high-performance computing (HPC) infrastructure. About the TOBI lab
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not available for this position. Please send your CV, a brief cover letter describing your research experience and future goals, and contact information for 2–3 references to chen.cao@utdallas.edu.
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; publishing the re-sults of the research work individually and in concert with others; cooperative maintenance of ex-change platforms (database, information pages, etc.); summarizing the results
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models. The scientist will conduct research using machine learning and classical parameterization methods on data from ocean gliders equipped with microstructure turbulence sensors, turbulence resolving
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with strong complexity thinking and tools applicable to living systems across organizational scales, addressing major environmental and life sciences challenges. Courses will cover topics such as
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or flow cytometry is a plus Fluency in English for communicating, writing, and presentation of scientific data Strong enthusiasm and motivation for interdisciplinary research, with an interest to explore