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++, Rust, or similar languages. CUDA experience is a plus. Passion for interdisciplinary research in an innovative and collaborative environment. Application Process: Submit your CV, cover letter, and
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international collaborations Your profile at our group: analysis of high-throughput proteomic, (single cell) transcriptomic, digital spatial and other omics data in health and disease states multi omics data
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neurobiology; have previous experience with optical imaging of neuronal activity or mouse stereotactic surgery or in vivo electrophysiology or advanced data analysis; are fluent in English. We offer
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on Clostridium carboxidivorans and Clostridium ljungdahlii, for which we have already established robust genetic and process engineering platforms. The following publications illustrate the potential and direction
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solid background in neurobiology; have previous experience with optical imaging of neuronal activity or mouse stereotactic surgery or in vivo electrophysiology or advanced data analysis; are fluent in
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, as well as the way memory, trauma and history are entangled. Job description: In close coordination with the project management and the other project members, the computer-assisted analysis
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‐sharing agreements. Data analysis & interpretation: Process and interpret high‑throughput sequencing outputs to assess biodiversity patterns across multiple MPA sites. Comparative evaluation: Critically
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is to understand the physical processes near supermassive black holes that drive the launching and propagation of relativistic jets in active galactic nuclei (AGN). The project aims to study the
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BSL1/2 and BSL3 conditions. We are seeking a skilled Postdoc to join us, offering essential support and development of an innovative study design as this behavioural unit is in the process of
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scientific career. About us TUM’s new Computational Pathology and Medical Machine Learning lab (*2021) develops methods of machine learning (ML) and artificial intelligence (AI) for the analysis of digital