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personal data to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13
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this data is needed to process the application. Submitting an application General information on the application via DAAD portal Click on 'Application portal' at the bottom of the page to go to the DAAD
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. Persons with severe disabilities will be given preference if they are equally qualified. Information on job advertisements and the collection of personal data is available at www.uni-heidelberg.de/en/job
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. The position is for at least 12 months, starting at the earliest opportunity. Applicants should hold a PhD or equivalent in Materials Science or Physics. Experience in some of the following areas would be highly
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, computer-aided drug design or a related field. Track record of scientific innovation, as demonstrated by scientific publications, patents, relevant presentations, or software code. Demonstrated experience in
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fields Interest in immunology, systems biology and translational research Strong interest in mass spectrometry-based proteomics (prior experience advantageous) Proficiency in computational data analysis
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learning paradigms as well as interactive data- and model exploration with domain knowledge towards optimal performance in real-world generalization scenarios. AqQua is a large-scale collaborative research
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data anonymization protocols There are no teaching responsibilities associated with this position. Our offer This 3-year position is available from October 1st, 2025 on. The Max Planck Institute
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The INM – Leibniz Institute for New Materials in Saarbrücken, Germany, is an internationally leading center for materials research, a scientific partner to national and international research
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, extension is sought) Contract:TV-L Your tasks Molecular laboratory work with 2D and 3D cell culture models Experimental design, data analysis and interpretation Publishing research findings in peer-reviewed