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Field
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Interest in applying AI to biological systems and contributing to data-driven hypothesis generation Experience with Linux-based computational environments or high-performance computing clusters Sahu Lab Dr
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A vibrant interdisciplinary environment integrating machine learning and sustainability science. Access to high-performance computing resources and open-source datasets. Opportunities to co-supervise
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. Hands-on experience with high-content imaging instruments and techniques. Key responsibilities Design and perform in vitro, ex vivo and in vivo immunological assays (ELISA, ELISpot, flow cytometry
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1, 2026 (or as soon as possible thereafter) for 12 months initially, with the possibility of extension up to three years based on performance. The successful candidate will investigate gene regulatory
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programming, including embedded systems, programming of critical software and infrastructure, high-performance computing, and distributed systems. Model-driven Software Engineering Cybersecurity, including
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, or climate data is advantageous but not required. What We Offer A vibrant interdisciplinary environment integrating machine learning and sustainability science. Access to high-performance computing resources
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regulation, or aging biology Interest in applying AI to biological systems and contributing to data-driven hypothesis generation Experience with Linux-based computational environments or high-performance
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:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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infrastructure and by providing support and expertise to researchers. The key areas of the center are High Performance Computing (HPC), Cloud Services, Data Analytics and Data Management Services. We assist a
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the ability and willingness to work collaboratively within a high-performing research team. They should also be committed to presenting work-in-progress at leading international conferences in the field