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investigated with regard to decontamination efficiency. The analytical focus is on positron emission tomography, computed tomography, and autoradiography. A cyclotron and a radiochemistry laboratory are
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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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of Prof. Dr. Frank Cichos and Dr. Nico Scherf (Max Planck Institute for Human Cognition and Brain Sciences). The position is part of a collaborative project in the Center for Scalable Data Analytics and
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%) in Mathematics for the project “Quantized vortices and nonlinear waves” The CRC has been funded by the German Research Foundation (DFG) since 2015. Its goal is to analytically understand, numerically
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well as analytical methods are an advantage Willingness to handle unsealed radioactive materials within a radiation-controlled laboratory environment Knowledge of handling radioactive materials and radiochemical
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: excellent, very good or good university degree (diploma, master's degree) in transport or related study programs with a solid basis in transport planning and/or data analytics Description of the PhD topic
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have detailed expertise in analytical and spectroscopic tools, namely NMR, XRD, IR, UV-Vis, MS and very good language skills in English and/or German. Please send your application (motivation letter, CV
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practical experience in at least one programming language (preferably Python) Ideally, some practical experience in material characterization methods Structured and analytical thinking as well as a systematic
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disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with
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Completed university studies (Master/Diploma) in the field of Chemistry, Radiochemistry, Radiopharmacy, Radioecology or related field Excellent knowledge of a broad range of organic chemistry and analytical