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, signal processing, and data mining A strong background in programming, statistical analysis, and spatial modelling and mapping Highly motivated to work on the subject and eager to work in an
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primarily on socially relevant sectors such as life sciences, energy, mobility and security. Our research ranges from component design and processes to factory planning and digitalization: we look at
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qualification position within the meaning of the Wissenschaftszeitvertragesgesetz (WissZeitVG), which either serves to support a PhD procedure in the field of analysis and geometry. The position is, depending
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the collection and processing of personal data as part of your application: https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your application, you confirm that you have read and understood
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Max Planck Institute for Social Anthropology, Halle (Saale) | Halle, Sachsen Anhalt | Germany | about 2 months ago
. Application procedure Please submit your application materials electronically by 15 September 2025 via our application portal . Applicants are asked to submit the following materials: cover letter; curriculum
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processes here How to apply: To apply please submit a cover letter and a CV through our online system. Applications will close at 23:59 CET on the date shown below. We aim to provide a response within two
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the application process. Please submit your application in English no later than 15th August 2025 under the following link Online application As soon as the selection procedure has finished, all application papers
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literacy with at least basic programming skills (R, Python). Analytical mindset, with a keen interest in advancing proteomic methodologies Knowledge of cancer biology is an advantage We offer Cutting-edge
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using DC and AC-based techniques such as characteristic curves, cyclic voltammetry and electrochemical impedance spectroscopy Participation in the investigation of stacks and cells post-test using
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the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case study analysis in collaboration with