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, and ecological plant physiology. Students acquire advanced methodological approaches and participate in international scientific cooperation through scientific meetings and internships at foreign
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experiments and nature: food selectivity of zooplankton in situ Cell morphogenesis in the presence of nanoplast particles Comparative transcriptomics of virulence in the series Viridinutantes (Aspergillus
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PhD programme. Mobility Allowance PhD students in the Graduate School Life Science Engineering receive a mobility allowance to support their research stays abroad or their participation in national and
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machine learning. The work will be part of a Horizon pilot project aimed at realizing a scenario-based platform for the interactive and comprehensive evaluation of design solutions and mitigation strategies
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tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in the form of graphs to analyze and predict food-effector systems. Key
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for application, but they may be required for university admission. Please mention in your application whether your prior education was in English. Knowledge of German is not necessary but we do encourage learning
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systems (e.g., mobile), business or entertainment systems, cybersecurity, and more. For more information, you may refer to https://www.uni.lu/snt-en/research-groups/trux/ . The person will: Conduct cutting
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, with a view to developing and carrying out the above-mentioned project and related scientific activities, with a particular focus on the development of analytical models (data science – machine learning
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and imaging diagnostics. The degree of resolution – already at single-cell level – will continue to increase in all disciplines of life sciences, and the need to process and combine huge data sets
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candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable implementations. By establishing a new class of multi-frame factorization methods