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inventory data, tree ring analysis, and quantitative wood anatomy. Our findings will provide crucial insights for science-based forest management decisions and conservation actions, aimed at enhancing forest
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alike. The Postdoc position will be instrumental in advancing research and teaching, helping to grow the Chair and accelerate its success! More Information at our homepage: https://www.asg.ed.tum.de/en
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learning and investigate materials properties and processes on the atomic scale. You will manage large-scale supercomputer simulations alongside AI algorithms and data analytics tools, lead machine-learning
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supported by more junior colleagues (PhD candidates, Bachelor’s and Master’s students). Requirements PhD degree in Computational biology or related (Computer Science, Physics) Experience with NGS data
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modular, and more energy efficient. The position stems out of the large scale 6G-life project and will give you a unique opportunity to work in the field of robotics that operates with 6G communication
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to build a collaborative scientific carrier in computer science and medical data analysis at a German top-ranked university. Help to acquire, mentor and teach students (e.g., PhD, MSc, BSc, seminar series
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conditions, to large field-scale experiments with wild and domestic grazers. These experiments will test hypotheses related to the effects on nutrient cycling of grazers with different body size and grazing
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processes, and the application of AI methods in engineering. Description: Nowadays, computer-aided manufacturing (CAM) methods are used to a large extent for the production of complex machine components, in
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to design and conduct experiments at various scales from laboratory manipulations of animal plant-soil systems including micro and mesocosms under varying environmental conditions, to large field-scale
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models and neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio