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candidate is expected to hold: A master degree in biomedical engineering or computer science, Excellent programming skills (Python). Experience with data curation, large-scale datasets, and machine learning
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Developing solutions to integrate large foundation models
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of a PhD at DIGS-ILS is three and a half to four years. Application deadline Applications are accepted twice a year via an online application system. For detailed information on the calls for 2025/2026
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project will enhance the PhD thesis and improve future career prospects, The likely output and significance of the research, with an emphasis on big/exciting ideas. Preference will be given to second year
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system-level visibility. Combined with data-mining methods and embedding techniques, these approaches create opportunities to generate more informed and efficient design solutions. Aim The PhD will focus
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level, with sub-metre precision? This PhD will develop next-generation foundation-model-driven urban perception systems that fuse: high-resolution satellite imagery, aerial data, street-level imagery (e.g
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not originally designed to manage large numbers of flexible and decentralised energy resources. This PhD project will develop new AI-driven methods for operating smart distribution networks so that
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18 Feb 2026 Job Information Organisation/Company International PhD Programme (IPP) Mainz Department Institute of Molecular Biology Research Field Biological sciences » Biology Researcher Profile
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Master's degree / PhD programme No Joint degree / double degree programme No Description/content BIGS-OAS investigates the cultures and societies of Asia and the Middle East in change through time and the
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/phd/phd-information#workin… ) KU Leuven offers a competitive and international working environment with access to the latest technologies and expertise. KU Leuven ranks among the top 100 universities in