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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month 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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, 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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Excellent skills in statistical modelling, preferably using R Proven track record of publishing in international peer-reviewed journals as first author Willingness to conduct fieldwork and participate in
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proteomics and multi-omic approaches. Our group has a proven track record of successful clinical translation and high-impact publications, including our recent Nature publication describing the discovery of a
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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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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 1 month ago
absorption spectroscopy (XAS) is a powerful method for understanding the structure of working functional materials and catalysts, and tracking their structural and chemical changes. XAS experiments
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relation to the use of syntactic structures in coordination with various bodily resources, such as gaze, facial expression, object use, movement in space, etc. Your tasks will involve collecting and
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). The empirical research should capture and analyze teaching and learning processes, for example by video analysis or eye-tracking. Development activities for instance may include AI tools, the creation
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track record in data modelling, machine learning and deep learning Previous research achievements supported by peer-reviewed publications Excellent knowledge of statistical/machine-learning and deep