61 application-programming-android PhD positions at Forschungszentrum Jülich in Germany
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of X-ray methods Knowledge of X-ray optics Knowledge of synchrotron science Knowledge of catalysis and energy storage Experience with programming languages (ideally Python), SPS controls system Fluent in
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
, applied mathematics, or a relevant engineering discipline Good programming skills and experience with numerical modeling Interest in performing experiments Excellent written and spoken English skills High
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; Experience with HPC, programming (e.g., Python, C/C++), and/or scientific computing is a plus Strong interest in quantum computing and molecular simulations Willingness to work in an interdisciplinary
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. You will employ the trypanosome model established in our group to study its swimming behavior in soft tissue-like surroundings. This project is a part of the DFG-SPP 2332 priority program “Physics
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
career in science and/or industry A comprehensive training program, including soft skills, along with an flexible working hours and various opportunities to reconcile work and private life Flexible working
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cyanobacteria and Paramecium bursaria. Image data analysis using AI-based tools and programming analysis scripts. Participation in conferences, presentations, and preparation of publications. Intensive exchange
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to characterize biodegradable Mg alloys containing a Long Periodic Stacking Ordered (LPSO) phase, developed for medical implant applications. You will be responsible for establishing a correlative
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, offering the best possible means for networking with colleagues and pursuing sports alongside work Opportunity to develop your strengths, e.g. through a comprehensive training programme; a structured
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analytical chemistry, mass spectrometry, or trace gas measurements is an asset Enthusiasm for laboratory and field work Willingness to engage in programming and data analysis (preferably Python) Excellent
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. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral