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signalling, protein interaction and metabolism Big data analysis C. Soft skills D. Annual retreat E. Thesis advisory committee F. Organisation of lecture series and meetings A Diploma supplement will be issued
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Pathogen Interactions PhD programme in Regenerative Sciences PhD programme in Auditory Sciences PhD programme in Epidemiology PhD programme in Biomedical Data Science Hannover Medical School © MHH Hannover
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Max Planck Institute for Solid State Research • | Stuttgart, Baden W rttemberg | Germany | 1 day ago
Degree Dr rer nat or PhD Doctoral degree or degree awarded by University of Stuttgart or one of the universities at the partner locations Course location Stuttgart In cooperation with Max Planck
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Your Job: This PhD project will be part of the Green ERA-Hub project AGROSOIL-Agrogeophysics for Sustainable Soil Management under climate extremes. With project partners in Ireland and Uruguay
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Your Job: In this position, you will be an active part of our Simulation and Data Lab for Applied Machine Learning. Within national and European projects, you will drive the development of cutting
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information Recruitment We recruit PhD students through one central call in the year. Please keep an eye on our website or our social media, as the call openings will be announced there. Financial support Yes
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networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In this project
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signals perceived, and how is information transmitted and integrated to ensure plant health, survival, biomass acquisition and seed formation? How can we manage, analyse and integrate complex, large-scale
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-IEK3-VSA/FINE) . Furthermore, you will use and extend existing lightweight Large Language Models (LLMs) to assess future technological characteristics. Your tasks in detail: Using/Extending methods
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communication tailored to their needs. For further information, see: https://www.physik.uni-kl.de/oscar/ Course organisation During the research work, the PhD student has the possibility to participate in