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Your Job: The main objective of this PhD project is to achieve a better understanding of the efficient propulsion of trypanosomes through complex crowded environments, mimicking biological tissues
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skills in one or more languages (Python, C/C++, or others) experience in mechanical testing profound knowledge of machine learning methods (e.g., neural networks, Gaussian processes, active learning
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research deals with both emergence and collapse of authoritarian regimes as well as their dynamics and transformation. Job description: The project focuses on studying long-term mechanisms of survival
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the hydrogen industry Investigation of reaction mechanisms in the field of the hydrogen economy, particularly with regard to the charging and discharging of hydrogen carriers Cooperation with partners in
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of the university hospitals in Germany. The group of Prof. Dr. med. Kaan Boztug at the Clinic of Pediatric Immunology and Rheumatology (Centre of Pediatric, University Hospital Bonn) offers a PhD position in
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of the (computational) mechanics of solids and the finite element method and/or spectral solvers Practical experience in at least one programming language (preferably Python) and experience with the use of Unix/Linux
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experience in the design and manufacturing of mechanical systems fluency in technical and non-technical English a high degree of independence, commitment, team spirit, and good communication skills Optional
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and research What you bring to the table Completed studies in process engineering, environmental process engineering, energy technology, chemical engineering, mechanical engineering or a comparable
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Experience with FACS, immune cell culture, molecular biology techniques and bioinformatics is advantageous Strong communication skills and fluency in English (spoken and written). Benefits: Fully funded PhD
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and (ii) improving understanding of the switching mechanisms at the molecular level. This opens up unique opportunities in a highly interdisciplinary research environment. The central task of the PhD