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that material is distributed between the groups. The job entails Installation, operations, and maintanence of a Beckman-Coultor BioLector XT instrument Coordination of collaborators and users of the instrument
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, the distribution of working hours may vary. Further information For further information about the position, please contact Professor Rubina Raja (rubina.raja@cas.au.dk) For more information about
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development, and computational algorithms A solid understanding of theoretical chemistry and solvation models such as COSMO The ability to work independently as well as collaboratively within a
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Tenure-track Assistant and Associate Professorship positions in Algorithms at the Department of M...
We seek candidates to join the Algorithms Section. The focus of the call is both to expand at the new Vejle campus and to strengthen the Odense campus. We have several openings, and successful
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
systems, programming of critical software and infrastructure, high-performance computing, and distributed systems. Model-driven Software Engineering Cybersecurity, including security by design, blockchain
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federated knowledge graph framework that facilitates the querying, consolidation, analysis, and interpretation of distributed proteomics-focused clinical knowledge graphs. To achieve this, we will employ
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patterns and insights from complex neural datasets. Develop and implement algorithms for preprocessing, spike sorting, and decoding neural signals. 2. Computational Modeling: Design and develop rate-based
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experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication skills in English. Applicants with experience in
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fellow will conduct research on Algorithmic Verification of Concurrent Systems within the Programming Languages, Logic, and Software Security Research Group at Aarhus University. The focus of the position
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the development of scalable AI prototypes while forging new algorithmic paths in generative AI for the natural sciences, empowering researchers to tackle complex, data-intensive challenges in uncharted territory