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Part-Time Lecturer for KM6312 Information Mining and Analysis We are seeking a part time lecturer to teach the course, KM6312 Information Mining and Analysis. This course, offered within the Wee Kim
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the scientific strategy for delivering GBI’s vision. Essential Knowledge, Skills and Experience: A PhD in a relevant scientific discipline, such as synthetic biology, computational biology and AI, microbial, plant
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Ecole des Mines de Saint-Étienne | Gardanne, Provence Alpes Cote d Azur | France | about 2 months ago
19 Jan 2026 Job Information Organisation/Company Ecole des Mines de Saint-Étienne Research Field Biological sciences » Biological engineering Engineering » Electronic engineering Engineering
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@gfz-potsdam.de Website https://gfz.concludis.de/prj/shw/9ff2d68a234ace2643d46c35b9002ab3_0/11046/Wisse… Requirements Additional Information Website for additional job details https://gfz.concludis.de
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Engineering, awarded by the Faculty of Engineering and Architecture at Ghent University in Belgium. Further information about this doctoral degree can be found at https://www.ugent.be/ea/en/for-phd-candidates
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University of Angers. More information here: https://www.univ-angers.fr/en/research/funding-and-projects/cap-europe/… Keywords: Computer Science – Semantic Web – Ontologies - Data mining - Data Integration
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- how do we efficiently identify these growing black holes and measure their properties? This project will focus on that key question, with students learning how to mine the vast new data resource that is
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/develop predictive models that can inform future land management and conservation strategies. Responsibilities • Data mining: Compile, review and complete pollen data and age-depth models from existing
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Department Information https://extension.unr.edu/default.aspx Exempt Yes Full-Time Equivalent 100.0% Required Attachment(s) Please note, once you submit your application the only attachment/s viewable to you
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experimental security (FSec Group: https://vu.nl/en/about-vu/faculties/faculty-of-science/more-about/found… ), with a focus on Cloud computing, the use of data analysis and AI techniques to quantify, evaluate