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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 16 hours ago
physics within the ATLAS muon and gaseous detector group. The group has contributed decisively to the design and construction of the ATLAS muon spectrometer and plays as a strong role in the upgrades
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& ecosystem structure under rising biosphere novelty. The work will integrate ecological, demographic, environmental and remote-sensing information to develop scenario-based forecasts of European vegetation and
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, and a special interest in IBD. The ideal candidate has: A PhD in bioinformatics within the field of IBD Has demonstrated expertise in working with registry data as well as genomic, microbiomics and
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characterization of materials, including structural and microstructural investigations using microscopic techniques, such as optical microscopy and electron microscopy, as well as other available characterization
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iterative design–make–test–analyse (DMTA) cycle, drawing on structural and biophysical data generated by a paired biophysicist/structural biologist postdoc (to be recruited separately). They will also
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for a passionate and dynamic researcher with strong expertise in pharmacology, cell signaling and structure biology to advance our research in the above areas. Ideal candidates should have a PhD in
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, significant challenges remain in shaping, structuring, and scaling up these materials while preserving their adsorption and catalytic degradation abilities. This postdoctoral position aims to develop advanced
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members of the research group, including PhD and undergraduate project students. The appointee will be expected to manage their own academic research and administrative activities with a high degree of
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electromagnetic sensing) with artificial intelligence (AI) to robustly deliver high-quality recycled aluminium for promoting circularity. The Engineering Structures (ES) Department at TU Delft is seeking a
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from patients with psychotic illnesses, curate and process these datasets, and derive both functional and structural brain networks. This will include using our group’s new Morphometric Inverse