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, metaproteomic analyses, functional genomic screens and metagenomic and as well as metabolic modelling of gut microbial communities. Your profile • Degree in biology, biochemistry, biotechnology, or related
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motivation in conducting evolutionary and chemical ecological research at different levels. •MSc/diploma in a relevant field (e.g., evolutionary biology, chemical ecology, sensory biology). •Strong experience
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. Your qualifications and skills Above average Master’s degree in plant biology, agriculture, or related field (or close to completion). Experience in plant phenotyping and molecular plant physiology. You
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. Candidate´s profile: • Master’s degree in Life Sciences, in Computational Biology or MD degree • Previous research experience in immunology • Experience in flow cytometry, cell culture and in high-dimensional
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at start: • Strong background in T cell biology/immunology. • Hands-on experience with transgenic mouse models, including breeding and colony management. • Proficiency in preparing and processing lymphoid
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05.04.2023, Wissenschaftliches Personal We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated
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05.04.2023, Wissenschaftliches Personal We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated
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07.01.2025, Wissenschaftliches Personal You’re interested in digging deeper into how the storage and the turnover of soil carbon is fundamentally influenced by carbon and energy fluxes and passionate about creating a pioneering map where calories are located and microbially transformed in a soil...
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and