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Field
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motivation to acquire and generate new knowledge and advance science • Dedication for excellence • We value diversity • Good team spirit • Background in synthesis, experience in handling air-sensitive
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evaluate usability of system architectures such as Retrieval-Augmented Generation (RAG) for data retrieval and knowledge inference - implementation of your machine learning pipeline in Python (using e.g
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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 20 days ago
dynamic modelling Very good knowledge of statistics and R, Python or Stata Excellent data management and programming skills in R and/or Python Very good knowledge of English Advantage: Good knowledge
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Knowledge on forest ecosystem service provisioning Good quantitative skills, specific interest in simulation modelling Good communication skills Ability to work in an interdisciplinary team Your tasks You
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reality to provide a holistic understanding of artworks’ condition and structure. The objects of interest in this project will be sculptures, architectural columns and porcelain parts. First step is to gain
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in geochemical or thermodynamic modelling is desirable Ability to work collaboratively within a multidisciplinary and international team Very good command of written and spoken English with extensive
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geophysics, physics, geoscience, computational geoscience, or related natural sciences with an overall grade of at least good Experience in programming (e.g., MATLAB, Python, C/C++) Advanced knowledge
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Annual Leave: You get 30 days of annual leave Knowledge & Development: Your professional development is important to us – we support you specifically and individually e.g., through training and networking
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research
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Good knowledge of English For additional information, please contact Carsten Schwitzky (carsten.schwitzky@xfel.eu ). Working place will be Schenefeld, in the Hamburg metropolitan area. General