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: TRR408-A7 Investigators: Prof. Dr. Ostap Okhrin, Chair of Econometrics and Statistics esp. in the Transport Sector and co-supervised by Prof. Dr. Kai Nagel, Chair of Transportation System
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | about 1 month ago
. If you need further information, feel free to contact Abhishek Gogna Tel.: +49 (0) 39482 5844 or Prof. Dr. Jochen Christoph Reif Tel.: +49 (0) 39482 5840 directly What you need to know: For us, your
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
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. The research unit Intelligent Systems (IS) in Computer Science is focused on the development of Data Science, Pattern Recognition and Machine Learning algorithms for interdisciplinary data analysis. For more
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: Prof. Dr. Steven Travis Waller, Chair of Transport modeling and simulation, and co-supervised by at least one additional professor, plus an international tutor of the CRC Requirements: excellent
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into their workflows. You will benchmark the supports, MEMS devices and developed codes on known multiphased reference samples. The TEM will be done at EMAT (University of Antwerp) under guidance of Prof. Dr. Joke
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, independent attitude - your perspective matters. Co-supervisor: Dr. S (Sascha) van Schendel, supervisor: Prof. dr. mr. P. (Pim) Jansen Job requirements We are looking for a candidate who: - has completed or is
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The Institute for Infection Prevention and Control (IPC, Head Prof. Dr. Philipp Henneke) is looking as soon as possible for a Bioinformatician (m/f/d, PhD) with focus on the analysis of large
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the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck of computational load for such a development. In the frame of a