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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoc Position in Quantized Reinforcement Employer
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, bioavailability, and imaging performance. Develop high throughput spectroscopic assays, and single molecule methods to evaluate key properties, including spectral profiles, photostability , and
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intersection of applied physics, high-performance computing, and semiconductor metrology. The successful candidate will have the opportunity to develop their own independent research direction and work
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develop innovative EO solutions. We offer: • a stimulating multinational, interdisciplinary and open work environment; • access to high-performance computing infrastructure and unparalleled EO
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experience with R and/or Python language, bash shell environment, high performance computing, next-generation sequencing data analysis, and single-cell analysis workflows 2 – Communication and team work
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Git, workflow managers, databases, and high-performance computing (HPC) environments. Experience in analyzing next-generation sequencing (NGS) raw data, in particular long-read RNA sequencing data and
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | 2 months ago
computational biology projects. A strong publication record, including one or more first author publications Experience using high performance computing systems Experience with the following are welcome
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cross-fertilization between labs are strongly encouraged. HPC & AI Supercomputing Resources: An extensive GPU-based accelerated computing facility and high-performance data infrastructure is available to
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position within a Research Infrastructure? No Offer Description Tenure-track position: Group Leader (k/m/x) in Quantum Algorithms and Machine Learning/Theory of Quantum Computing Ref. Number: MAB/27/2026
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outputs with experimental validation workflows, including library generation, screening, or directed evolution approaches. Familiarity with cloud computing, high-performance computing (HPC), and workflow