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, both written and verbal Knowledge of German and/or a willingness to learn Computer/programming literacy, for example in R, and/or software used in image processing (Adobe Photoshop, ImageJ etc.) Ability
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one (or more) of the following areas is desirable: electrochemistry, additive manufacturing High motivation for pursuing a PhD within 3 years Excellent organizational skills Ability to show initiative
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, Machine Learning, Hyperspectral Cameras • Professional proficiency in written and spoken English Application process Send your application in English by email to amx@wzw.tum.de with the title “Research
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scientific challenge. The planned PhD project will therefore investigate the interaction of food-borne toxicants with realistic co-exposure using New Approach Methods (NAMs). The focus will be
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scientific challenge. To address this challenge, the PhD student shall assess the interaction of food-borne toxicants at realistic co-exposure using New Approach Methods (NAMs). The focus of this work will be
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analysis of large data sets, statistical modeling, and knowledge of at least one programming language (e. g.: R, Python and/or Julia) are required. Experience in machine learning and image recognition
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the field of biotechnology, bio-/chemical engineering, (bio) process engineering, bioinformatics, biophysics or biomathematics. Ideally you have Programming skills and knowledge on machine learning and
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05.06.2025, Wissenschaftliches Personal The Chair of Intestinal Microbiome is looking for a research associate for a PhD position at the earliest possible date. PhD Position in Intestinal Microbiome
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Description Gen-Q is a doctoral training programme set up by Eucor – The European Campus EGTC. It provides 13 doctoral positions with an international, interdisciplinary and intersectoral focus at the University of Freiburg and the Karlsruhe Institute of Technology. Each doctoral position lasts...
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international partners. Become part of our team PhD student (f/m/d) Work schedule: 65 % of the regular weekly working hours (currently 25 hours and 37 minutes) Duration: at the earliest possible date