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Field
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collaboratively as part of an interdisciplinary team; Outstanding written and oral communication skills Technical and scientific curiosity A solid record of relevant publications and software appropriate
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organometallic and coordination compounds Specific Requirements good knowledge of the software packages Topspin, Mestrenova, Diamond, Thermo Scientific Xcalibur, Microsoft Office Solid skills written and oral
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the rheodialysis technique with spectroscopy devices using Netzsch¿ rheometers and proprietary software so that it can easily utilised by Netzsch customers for quantifying controlled release in any industry
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the rheodialysis technique with spectroscopy devices using Netzsch’ rheometers and proprietary software so that it can easily utilised by Netzsch customers for quantifying controlled release in any industry
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sensitivity studies using synthetic and real-world data. Develop reproducible, scalable software in Python, MATLAB, and C++ for research and operational transition. Maintain version-controlled repositories
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negotiable; the position has a duration of one-year with options for renewal. Position expected start date in June 2026. The successful candidate will have expertise in the data sciences with software
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for automated vulnerability detection to (1) maximise the detection of zero-day vulnerabilities, and (2) enable continuous cybersecurity assessment of software. More specifically, the project will investigate
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down and genome editing techniques Experience in writing scientific reports and papers Very good knowledge of and experience with MS office, graphic programs, statistical software, bioinformatics tools
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machine-learning based methods for analyzing IoT time-series data. Your Competencies: We seek a highly motivated researcher with a PhD in computer science, proficiency in software development, and a strong
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/ambulatory assessment/EMA; (2) data analytic skills for intensive longitudinal data, including app-based surveys; (3) R and/or MPlus software packages; and (4) collaborating effectively with teams