777 evolution "https:" "https:" "https:" "https:" "UNIVERSITY OF MACAU" uni jobs in Germany
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of mechanical cell activity – in this case growth/division and motility. For more information about the network and the project, please visit the central webpage ( https://cafe-bio.org/ ). Your Profile For our
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We are seeking an experimental biologist to support the development of next-generation RNA-based precision therapies. The work is part of a core project within curATime (Cluster for Atherothrombosis
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postdoctoral research track record and are expected to build and lead a group to pursue a high-quality research programme. Current research interests within the Division of Condensed Matter Theory (https
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particle physics. In all of these areas, methodological development through machine learning is taking place — for example, in predicting the evolution of complex molecular systems over long timescales
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instructions of the project (https://manifesto-project.wzb.eu/information/documents/handbooks ) Development of the project’s infrastructure (e.g. Shiny Apps) Contribution to the organization of conferences and
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for three letters of reference to be submitted via https://www.pks.mpg.de/reference . Please submit all materials by April 3rd, 2026. Apply now Prof. Dr. Frank Jülicher Max Planck Institute for the Physics
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methods for photocatalytic membrane development. The project will focus on i) photocatalyst selection, looking beyond the most commonly used materials, ii) exploring options of catalyst deposition and
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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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the TUM School of Management (https://www.mgt.tum.de/de/faculty-research/doctoral-program) Requirements Master's degree in economics or a related discipline with very good results Solid knowledge
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: Development of machine learning algorithms for the localisation of seismic sources (e.g., on 2D grid maps) Analysis and preprocessing of large DAS datasets Use of synthetic training data from seismic