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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
candidate will lead the design, development, and deployment of next-generation holographic particle imagers for both laboratory and in-situ atmospheric measurements. A key objective of this task is to further
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objective of the research group ‘Crop Physiology’ is to understand the physiology of plants down to the structure and function of genes and proteins as well as relevant mechanisms, which allow optimizing
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for the first time to map wealth trajectories over more extendedperiods of people’s lives. One objective of the project is to establish the intergenerational relationships between family background and wealth
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, accounting for cars, buses, trams, bicycles, and trucks as a function of transport supply and travel demand. The objective of the project is first to develop assessment indicators based on the MFD
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, El Colegio de Mexico, the Universidad Nacional Autonoma de Mexico, and the Centro de Investigaciones y Estudios Superiores en Antropologia Social in Mexico City. Objectives: The IRTG aims at developing
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, on surface synthesis and theoretical calculations, the TACY team will use a new synergistic approach to solve this long-standing problem. Objective is the synthesis of cyclacene precursors and polycyclic
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, Java, C#, C++) Good knowledge of object orientation and at least basic knowledge of UML Knowledge in the field of machine learning Good knowledge of machine learning (e.g. Object Detection
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for the first time to map wealth trajectories over more extended periods of people’s lives. One objective of the project is to establish the intergenerational relationships between family background and wealth
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Kiel or the Helmholtz Association, please visit www.geomar.de or www.helmholtz.de. GEOMAR is committed to an objective and non-discriminatory personnel selection. Our job advertisements address all
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the possibility of an extension. TASKS: Mathematical modeling and development of inverse methods (e.g. Bayesian inversion, optimization based methods, sparsity promoting methods based on L1-norm minimization and