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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 16 days ago
, or a related field, as well as a keen interest in neuroscience. Good computer programming skills (e.g., C++, Matlab, Python) are necessary. The ideal candidate would have experience in EEG or MEG (or
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Applications must be sent with reference to the job advertisement number 25/E18 by 5 January 2026 via email (one PDF file) to: Universitaet Greifswald Interdisziplinaeres Forschungszentrum Ostseeraum Dr
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standard software used for FRB or pulsar searches and analysis Practical experience in applying Machine Learning methods to data Experience with computer clusters and HPC Willingness to supervise Masters/PhD
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for High-Luminosity LHC. These activities are supported by excellent mechanical and electronics engineering departments and workshops. Our ATLAS upgrade projects comprise the development of new front-end and
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-1,3,3,3-tetrafluoropropene (R1234ze(E)). The position combines mechanism building and validation with algorithm and database contributions to RMG, supported by electronic-structure data from literature, and
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core facilities diverse international collaborations structured project meetings and institute seminars electronic lab books, digital lab management integration into an interactive local research
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gap thin film materials for the next generation of electronic devices. Project description: Process development and thin film material fabrication by MOCVD and ALD process using state-of-the-art
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). For questions about the IRTG "Baltic Peripeties," please reach out to Nina Pilz (nina.pilz@uni-greifswald.de ). Applications in English or German should be submitted via email (as a single PDF file) with
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-specific methods such as X-ray absorption spectroscopy at synchrotron radiation sources and free-electron lasers. A wide variety of magnetic material systems are studied, such as magnetocaloric materials
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deleted in compliance with data protection regulations. In case of any further queries relating to the field of activity, please contact Dr. Ute Weckmann either via email or phone +49 (0)331-6264-3474