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analysis procedures and computer tools for automated data acquisition/processing (Python/C++/Labview programming languages), Team player with excellent communication skills and collaborative working style
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technologies with clinical practice, developing solutions that enable accurate and real-time diagnosis and therapies. Project background Polyethylene wear is a major factor affecting the long-term performance
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educational track record in condensed matter physics and optics, Familiarity with data analysis procedures and computer tools for automated data acquisition/processing (Python/C++/Labview programming languages
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that enable accurate and real-time diagnosis and therapies. Project background Polyethylene wear is a major factor affecting the long-term performance of hip implants, as it can lead to particle-induced
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to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical analysis of large datasets, high-throughput metabolomics, time-lapse
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analysis of large datasets, high-throughput metabolomics, time-lapse microscopy, to investigate how to pharmacologically interfere with fundamental mechanisms in the regulation of cancer metabolism
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be investigated. Practical work involves collecting of plant material, wet lab work, bioinformatics, population genetic analysis, and growing plants to assess mutation accumulation. Your profile We
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the PI. The ideal candidate has a solid background in the fields of Mathematical Analysis and Probability, with a strong interest in applying rigorous mathematical methods to problems inspired by real
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, population genetic analysis, and growing plants to assess mutation accumulation. We are looking for highly motivated applicants with a master's degree in evolutionary biology, population genetics
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scanning probe instrumentation fabrication of van der Waals heterostructures transport, optical spectroscopy, and quantum sensing experiments data analysis, modeling, and scientific communication