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/2020.07.16.20154732 Preferred skills/knowledge We are seeking a highly motivated and independent candidate with strong analytical skills. The candidate should have a strong desire to develop novel computational methods
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datasets using programming languages such as R, SAS, Stata and Python A strong quantitative background in mathematical and simulation modelling, especially Markov-chain, common decision-analytic model
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, analytical and experimental techniques to investigate potential fuel additives to understand the mechanical, chemical and environmental impacts. We are looking for an enthusiastic and self-motivated person
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fields. Experience with 3D printing and/or soft robotics is an advantage Familiarity with sensor integration and control systems Analytical thinking, problem-solving skills, and effective communication
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of computational, analytical and experimental techniques to investigate potential fuel additives to understand the mechanical, chemical and environmental impacts. We are looking for an enthusiastic and
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, interdisciplinary, and international team Successful candidate should have prior experience in at least one of those areas: analytical methods (e.g. profilometry, SEM), machine learning and/or modelling, embedded
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Description As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and
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for Ion Nano-Analytics (AINA) group at LIST, a research team specialized in mass spectrometry. AINA combines expertise in instrument development, nano-analytical techniques, and methodological innovation
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numerical simulations using a GRMHD-PIC technique, which allows to track VHE ions on the fly. These simulations will be supplemented by cutting-edge analytical methods for injecting particles onto the grid
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advantage You demonstrate strong analytical thinking and the ability to synthesize complex information effectively. You have excellent communication skills, both written and oral, and a good command of