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individual meetings. • Present data and findings to research groups in the University and at national meetings. Qualifications Minimum Qualifications: PhD in a relevant field (Biochemistry, Molecular
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opportunity to design and carry out an innovative PhD project titled ‘Meritocracy as Political Culture: A Comparative Analysis of Structures, Attitudes, and Meanings,’ which examines meritocracy as a dynamic
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and further information go to: https://www.uni-muenster.de/CiM-IMPRS We offer 16 fully financed PhD positions. More positions financed by work contracts may be offered depending on availability
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setup and learn data analysis. Candidates for whom English is not their first language will require an IELTS score of 6.5 overall or equivalent proficiency - English language requirements For enquiries
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. The successful candidate will be joining the STM on 2D Quantum Materials Group led by Prof. Dr. Carmen Rubio-Verdú. MAIN RESPONSIBILITIES: Design and fabrication of devices Measurements in STM Data analysis
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. The successful candidate will be joining the STM on 2D Quantum Materials Group led by Prof. Dr. Carmen Rubio-Verdú. MAIN RESPONSIBILITIES: Design and fabrication of devices Measurements in STM Data analysis
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application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of repetitive
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Energy and Environmental Economics, focusing on macroeconomic analysis of energy transition policies
12th April 2026 Languages English English English We have a vacancy for a PhD Candidate within Energy and Environmental Economics, focusing on macroeconomic analysis of energy transition policies
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outcomes of therapy. The lab is looking for candidates for the following two stipends: • Stipend 1: Computer Vision-Based Analysis of Humans. This PhD candidate will focus on developing new AI/computer
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for the identification of floating material (plastic and wood) 2. Creation of ground truth for satellite data 3. Development of geomorphological process indicators from satellite classifications 4. Analysis of data