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of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment
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Job Description Do you want to establish or further develop your career as a computer scientist in an international, research-centred technical university? Do you want to contribute to the education
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and chemistry. The postdoctoral associate will join the growing Microbe-Mineral Atlas Center team to understand how microbes accelerate geology, and then leverage it for mining metals for sustainable
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The information for the PhD admission is available at TalTech´s web-page: https://taltech.ee/en/phd-admission The following application documents should be sent to taavi.liblik@taltech.ee CV Motivation letter
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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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with the current regulations for the Doctoral Programme in Social Sciences at KULeuven: https://soc.kuleuven.be/fsw/doctoralprogramme The PhD scholar will be employed as a PhD student at the Department
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Qualifications: MD or PhD in public health, epidemiology, statistics, biostatistics, math, or quantitative social sciences plus two years’ experience preferred. Experience with machine learning, data mining, and
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Angers, Pays de la Loire | France | 2 months ago
, you will be in charge of developing and drafting research projects, as well as planning and implementing experiments. You will also be in charge of mining the genomic data produced using existing
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moves. Success will be measured by having published or contributed to papers in top venues (e.g., Nature Science of Learning, Computers and Education, ACM Learning at Scale, Educational Data Mining) and
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technologies in education: Artificial Intelligence in Education Learning analytics, data science, and educational data mining Machine learning applications in educational contexts Technology-enhanced learning