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to academic leadership. Renowned for his work in Big Data and healthcare innovation, Dr. Madigan has authored over 200 publications covering topics such as Bayesian statistics, text mining, and probabilistic
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Sciences at the University of Amsterdam (UvA). BDA works on the development of methodology for data mining, machine learning/deep learning, data fusion, and modelling and application of these methods
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consider applying, we invite you to join us on December 9 from 9.30 am to 11.00 am CET OR on December 11 from 8.00 pm to 9.30 pm CET. In these info sessions we provide you with lots of information on our PhD
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Mineral and Energy Economy Research Institute of the Polish Academy of Sciences | Poland | 3 months ago
8 Oct 2025 Job Information Organisation/Company Mineral and Energy Economy Research Institute of the Polish Academy of Sciences Department DIVISION OF ENVIRONMENTAL STUDIES AND WASTE MANAGEMENT
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machine learning, data mining, and analytic techniques. Experience mentoring and developing junior employees on soft and technical skills. Experience with project management methods. Peer-reviewed
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French and English. OTHER INFORMATION Regular travel to Marseille is expected for collaboration with the company Multiwave. LanguagesENGLISHLevelGood Additional Information Benefits https://www.imt
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programs and master's programs. More information is available on our website. Department of Chemistry Ångström Laboratory Duties PhD student in the Inorganic Chemistry research program. The research focuses
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-engineeri… Requirements Additional Information Website for additional job details https://jobs.pse.kit.edu/en/jobs/169209/phd-candidate-fmd-in-chemical-engineeri… Work Location(s) Number of offers
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. For more information about how Knowledge Transfer Partnerships can accelerate your career, visit: https://iuk-ktp.org.uk/ You must evidence the following essential criteria in you application: A PhD (or MSc
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, proteomics, lipidomics and metabolomics in large-scale human populations. The lab is interested in integrating and mining the different types of data to understand the genomic causes and other biomarkers as