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Field
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. You will work on Vitrum, an ambitious Innovate UK-funded collaborative project developing a commercially deployable, fully dexterous robotic harvester for on-the-vine tomatoes. The project addresses one
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Austrian Academy of Sciences, The Marietta Blau Institute for Particle Physics (MBI) | Austria | about 2 months ago
centre of Vienna - consistently ranked as one of the most liveable cities in the world https://www.eiu.com/n/campaigns/global-liveability-index-2024/ The minimum annual gross salary for this position is
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analyses and developing habitat maps using marine datasets. Applicants should possess strong analytical skills and experience with spatial modelling and statistical software such as R, Python, or MATLAB
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integrating environmental monitoring data, fisheries information, habitat datasets, and field observations to identify the ecological drivers of productive fishing grounds. Responsibilities include developing
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background in physics and an interest in developing new quantum measurement platforms are especially encouraged to apply. The selected candidate will join a highly collaborative research environment and
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to join as soon as possible. The research focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical
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researchers to join as soon as possible. The research focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The eBRAIN Lab (https://ebrain4everyone.com ) in the Division of Engineering at New York
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Science Minimum Requirements Background managing and analyzing large datasets, developing geospatial models and tools, familiarity with ESRI products or similar GIS software(s), proficient in programming in
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to develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including R and SPSS, for large and complex data analysis Proven knowledge