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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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future of their village communities. It will do so through an interdisciplinary framework that builds upon theories and methods from cultural and rural geography and media literacy education. The project
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Experiment , Astrophysics Theory , ATLAS , Atomic Molecular and Optical Physics , Atomic Physics , Atomic, Molecular, and Optical Physics , atomic-molecular-optical physics , Atomic/Molecular Physics
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as raw materials. Thanks to bond-exchange chemistry our LCEs will be re-processable and re-usable. To dramatically scale up LCEs in size as well as in number, we are developing a ground-breaking new
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the fields of control theory, artificial intelligence, and robotics. You will work alongside leading experts in the field, collaborate with national and international partners, and access state-of-the-art
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are essential. An additional background in analytical chemistry or physics, as well as experience with practical lab work (e.g. from a previous Masters degree) are advantageous. Interested students are strongly
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in connection with copper and silver, while investigation also will be carried out on specific electronic components such as chip resistors, IGBT substrates etc. Work will also involve electrochemical
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focus more on model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust
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expertise in wireless communications, communication theory, information theory, applied probability, and optimization • Excellent written and verbal communication skills Preferred Qualifications • Prior
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(or equivalent (120 ECTS points)) in civil or mechanical engineering. Background or strong interest in one or more of the following: Hydrodynamics (wave or coastal) Structural mechanics (nonlinear beam theory