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, reproducible tools and datasets. • Infrastructure and benchmarking for large-scale social-science simulation and validated workflows. The group website is https://torrvision.com/ Feel free to add Professor
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
translational liver research, including data analysis, experimental design, and scientific dissemination. Qualifications We are looking for a highly motivated PhD candidate with a strong interest in translational
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collaborative opportunities with colleagues in other departments and research centres. Currently, the department comprises 70 academic staff and ~25 PhD research students, as well as large undergraduate and
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salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines
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“). The monthly salaries in euro can be found on the BMI website: https://go.fzj.de/bmi.tvoed.entgelt Further information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is
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on developing a new multi-disorder prediction approach that integrates different sources of information. You work with analytical model development, extensive simulation studies and analysis of existing large
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9 Jan 2026 Job Information Organisation/Company Academic Europe Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany
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science Additional Information Work Location(s) Number of offers available1Company/InstituteTU DublinCountryIrelandCityDublinGeofield Contact City Dublin Website http://www.tudublin.ie/phd Street TU Dublin
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biology, bioinformatics, genomics, statistics, physics, or a related quantitative field Demonstrated ability to analyse large-scale sequencing data using R, Python or equivalent A self-motivated team player
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-time, large-scale data demands of IIoT and lack sustainability considerations, such as energy efficiency. This research proposes a sustainable, high-performance IDS that leverages digital twin technology