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journals (e.g., ICRA, RSS, IJRR) Active participation in European robotics and AI research initiatives Support for personal and professional development, including teaching, supervision, and leadership roles
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harms, but also how these harms should be redressed through multi-sited ethnographic fieldwork. This fieldwork will be integrated with participatory design workshops to develop specific interventions
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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opportunity to be an active part in the establishing of our department Comprehensive training programs and individual opportunities for personal and professional development Access to a strong research network
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team to work on machine learning-supported rapeseed genomics and breeding. Your tasks: You design, train and interpret deep-learning models to predict regulatory gene variants in rapeseed genomes. You
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Your Job: We are looking for a researcher to develop and apply machine learning models for genomic data in our lab. We focus on sequence analysis, genomics, semantics, and cross-domain data
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% international students in the MA program. The visual computing lab embraces its diverse culture, and is proud to host PhD students from over 10 different countries. Our lab language is English. The position is
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Institute (https://www.mdsi.tum.de/). The Position Plan, develop and test novel computational models for the analysis of digital pathology image data. Collaborate with pathologists and other domain experts
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opportunity to be an active part in the establishing of our department Comprehensive training programs and individual opportunities for personal and professional development Access to a strong research network
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and industry partners A diverse range of activities in exciting, forward-looking, and varied research fields and projects, with numerous development opportunities Modern hardware and infrastructure