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/phd We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and
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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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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
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quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent spoken and written English and the