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Angola and the DAAD offer up to 30 scholarships to qualified applicants in the field of Mining engineering, metallurgy, drilling, geology, mining economy, mining law, geosciences and other specialties
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 2 days ago
Relations Office is nonetheless pleased to be able to award a limited number of scholarships to international students already enrolled at BTU. You can find more information on BTU scholarship opportunities
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Additional information on beginning, duration and mode of study The starting date of the PhD project is flexible. The initial funding period is usually three years. Find out more at https://www.bgc-jena.mpg.de
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learning and data mining, semantic intelligence, and cloud and big data infrastructures, among others. Notably, IDLab graduates are currently employed at leading institutions such as Google DeepMind and
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genome mining to connect gene clusters with chemical structures and vice versa · Contribute expertise in microbiology, fermentation, genome assembly, and metagenomic data analysis · Explore
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17 Feb 2026 Job Information Organisation/Company Université Paris Cité Research Field Technology Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1
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20 Dec 2025 Job Information Organisation/Company IMT Mines Albi Research Field Engineering » Process engineering Computer science » Digital systems Physics Researcher Profile Recognised Researcher
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requirements of the applicant FIXED-TERM: The position is for a fixed term of 3 years Further information about the project can be found here: https://cordis.europa.eu/project/id/101226422 In
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letters, All documents above should be zipped in a single file. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/404414/gsmi-assistant-prof… Requirements Additional Information
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research and practice, including artificial intelligence, big data, bioinformatics and computational biology, data mining, human-computer interaction and experience, machine learning, meta-heuristics