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Field
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, this candidate will align computational methods with experimental workflows. The focus will be on developing advanced machine learning algorithms for monitoring various in vitro cell culture models (2D, 3D
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Innsbruck and help bring quantum computing to its full potential. The ideal candidate has achieved excellent research results in several of the following fields: Quantum algorithms Quantum complexity Quantum
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submission to IRBs, sponsors and master agreements, and coordinates with the Research Program Director on remediation. 2. Coordinates the efforts of relevant team members to manage, retain and control all
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, Mathematical Optimization Cryptography: Post-Quantum Cryptography, Multi-Party Computation, Zero-Knowledge Proofs, Fully Homomorphic Encryption, Privacy-Preserving Algorithms Computer Science & Engineering
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or improvement. The intern will analyze the performance of AI models by comparing model predictions against established benchmarks. They will contribute insights on how to optimize algorithms and improve
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manual data processing and integrate warehousing; Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale clinical datasets Collaborate with data scientists
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, collaborating with biologists, oncologists, statisticians, and other computational/ML scientists to translate computational findings into therapeutic strategies.-Design, debug, and optimize algorithms and
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, Evaluation, and Governance Lab (RegLab) at Stanford University is looking for a Senior Data Scientist to help drive forward a diverse research program focused on public sector artificial intelligence (AI
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Qualifications: (as evidenced by an attached resume) * Ph.D. degree in Data Science, Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, Neuroscience, or a related field. * 5 years
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working in the research group “Theory and Applications of Algorithms” at the Faculty of Computer Science. The position is limited to six months and is planned to be filled from 01.10.2025. Your future tasks