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Field
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: Collection, analysis and interpretation of experimental data, using statistical software and other methods to guarantee the accuracy of the results. Dissemination and publication: Assistance to congresses
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of processing and compounding to improve mechanical properties, dimensional stability, and process stability Employment requirements: A completed degree (MSc. or Dipl.-Ing.) in chemistry, chemical engineering
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can be adapted to fit other ongoing projects in the research group for cooperation and mutual benefit. See https://www.inn.no/english/research/our-research/forest-research/ for examples of projects
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
Science (MarDATA). MarDATA’s interdisciplinary focus spans supercomputing, modelling, (bio)informatics, robotics, statistics, and big data methodologies. Doctoral researchers benefit from a structured
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Energy For more information see: www.uu.se/earthsciences The successful candidate will join the research program Air, Water and Landscape Sciences (LUVAL) (https://www.uu.se/en/department/earth-sciences
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for the learning and research tasks. Necessary qualifications: The applicant should by the date of admission to PhD studies have a second-cycle degree (e.g. MSc or equivalent) in environmental science or management
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background and research-oriented master thesis in a related field (e.g., signal processing, statistical machine learning, applied mathematics); Significant experience with programming (preferably Python). Good
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will work with researchers in environmental geo-spatial AI method development, soil modelling and spatial statistics. Where to apply Website https://www.academictransfer.com/en/jobs/362722/phd-position
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and APS illustrates the multidisciplinary nature of the PhD-position. Where to apply Website https://www.academictransfer.com/en/jobs/363545/phd-impact-of-reward-schemes-fo… Requirements Specific
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supervised by Mykola Pechenizkiy, Cassio de Campos and Clemens Dubslaff. Where to apply Website https://www.academictransfer.com/en/jobs/362817/phd-in-resilient-machine-learni… Requirements Specific