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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep
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advertisement number ST-36028 to: Prof. Christoph Wilhelm Institute of Clinical Chemistry and Clinical Pharmacology University Hospital Bonn Venusberg-Campus 1 53127 Bonn, Germany E-Mail: christoph.wilhelm@uni
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advanced wet-lab experience in molecular biology and in reverse genetic approaches. • You are familiar with FAIR data handling and in silico data analysis. • You work precisely and reliable. YOU FIT TO US
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on the nanoscale (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). You will also supervise one PhD student who will work on a complementary topic guaranteeing quick output and an ideal
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: Philipp Rosner: philipp.rosner@tum.de More Information https://www.mos.ed.tum.de/en/ftm/karriere
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) on the collection and processing of personal data in connection with your application http://go.tum.de/554159. By submitting your application, you confirm that you have taken note of the data protection information
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the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our website at www.senckenberg.de for further information about the
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acknowledged the above data protection information of TUM. Kontakt: Christian Mendl More Information https://www5.in.tum.de/~quanTUMcomputing/
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and further information Applications should be sent as a single pdf file to toek@ls.tum.de (preferred), or via postal mail to Prof. Wolfgang W. Weisser, Technische Universität München, Lehrstuhl für
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information of TUM. Kontakt: k.alim@tum.de More Information http://www.bpm.ph.tum.de