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interest in cell biology (DNA repair field), microsccopy and processing of large datasets Strong English language skills – both spoken and written Eager to learn innovative approaches in data analysis
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of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research sits at the intersection of AI Safety and Data-Centric AI. We aim to make large
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symptoms emerge. The group combines large population-based and twin cohorts with longitudinal blood-based biomarkers, multi-omics data, and advanced epidemiological methods. The group is part of the research
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PhD offers an exciting opportunity to explore reservoir computing, a new approach towards artificial intelligence that uses the natural dynamic behaviour of physical systems (such as light and
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fields; • experience with large datasets, spatial and environmental analysis, and field work will be viewed favourably; • proficiency in R or similar scripting languages for data cleaning, analysis and
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trials and knowledge of fundamental ethology in farm animals Knowledge of data handling, with some exposure to big-data workflows or modelling Good communication and interpersonal skills Candidates who
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-omics integration across genomic, transcriptomic, proteomic, and metagenomic data layers Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala
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16 Apr 2026 Job Information Organisation/Company Nantes Université Department SUBATECH UMR-CNRS 6457 Research Field Physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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, finance or computing science/natural language processing/machine learning. Preference will be given to those who are proficient in Python, adept at processing large-scale data and have worked with large
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-resolution data to be collected continuously during real operating conditions, providing unprecedented insight into battery dynamics and degradation. The PhD student will develop models and diagnostic methods