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Field
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classical and/or AI/ML approaches. Translate heterogeneous data into coherent biological models and hypotheses that can guide discovery. Coordinate and mentor computational staff at CBGE, aligning methods and
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intelligent, adaptive, and sustainable industrial systems. The work involves topics such as AI-assisted automation engineering, digital twins, semantic modeling, secure data exchange, and reconfigurable
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, science, and, yes, the occasional laugh over fika ☕️.This is not your average PhD position – it's a unique opportunity to shape the future of AI-based 6G wireless communication, contributing to world
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to study the dynamics of water resources availability to connect to the integrated resources assessment modelling. What we offer A position at a leading technical university that generates knowledge and
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treatment. Develop methods and models that can predict the course of the disease by analyzing detailed data on the immune system and metabolism. We are conducting a large study, the CoVUm study, involving 579
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. The work involves areas such as AI-assisted automation engineering, digital twins, semantic modeling, secure data exchange, and reconfigurable production architectures. The research is carried out in
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Experience with performing laboratory experiments Ability to work with large data sets (> 500 GB) Numerical modelling Main responsibilities Independent research and research training (80% of time) Support for
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modeling, secure data exchange, and reconfigurable production architectures. The research is carried out in collaboration with leading industrial and academic partners within large-scale Horizon Europe
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to benchmark results, validate models against fabricated amplifier designs, and - very importantly - guide technology development Publish results in leading journals and conferences, and supervise PhD students
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two pages) 2. CV 3. Diplomas of bachelor and Master level degrees 4. Bachelor/Master theses work/other relevant publications 5. Other merits of relevance for the position 6. Contact information to two