31 postdoc-in-postdoc-in-automation-and-control-"Multiple" PhD positions at Technical University of Munich
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, biomedicine, molecular / translational medicine or similar with an excellent academic background. They are open minded, active and have a good command of the English language (oral and written). Salary and
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, University of Galway), Africa and the Americas. The Chair of Livestock Systems is newly established at TUM includes one postdoc, two PhD students, visiting researchers and technical staff. The team involves a
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processing and analytical chemical analyses. •Excellent command of English language (written & oral) and experience with scientific writing. We offer •Friendly and inspiring working atmosphere in a highly
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phenotyping experiments in the glasshouse and controlled environment chambers. Dissecting root systems to identify trait patterns contributing to Fe, Zn and Se uptake resilience. Sectioning plant roots and
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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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health and wellbeing. Utilizing terrestrial mobile laser scanning (TLS) and automated recording units (ARUs), as well as advanced modeling techniques, this thesis will quantify songbird diversity indices
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machine learning technologies. This PhD position is part of the project “Artificial Intelligence for the automated creation of multi-scale digital twins of the built world”, which is funded via the Georg
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soil characterization techniques. A strong command of English is indispensable. Skills in R, MATLAB or Python are helpful. The effective exchange within the interdisciplinary collaboration will be
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06.10.2023, Wissenschaftliches Personal The PhD position is on safety verification of Cyber-Physical Systems at the intersection between control theory and machine learning. The position is full