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Knowledge of multi-omics integration and plant biology is an advantage Familiarity with large biological datasets and high-performance computing is desirable Ability to work independently and collaboratively
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the master's programme before starting the PhD programme at CBS master academic English at a high level in writing and speaking The application (see link below) must include a five-page project description
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datasets High proficiency in data analysis and statistical programming using R and/or Python. Experience working in high-performance computing (HPC) environments for large-scale analyses and with workflow
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methods and high-performance thermal technologies Contribute to external funding activities, seeking opportunities to lead and participate in collaborative, funded research projects with academia and/or
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, Python, or other relevant programming languages. Experience working with high-performance computing (HPC) environments. Strong scientific track record with publications in peer-reviewed international
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individuals, teams, AI agents, and potentially human-AI teams. You will help design and develop the platform as a research instrument and analyze the processes that shape performance. What you’ll be working
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estimation, and performance prediction. Build computationally efficient models suitable for monitoring, performance prediction, optimization, and control, and evaluate their accuracy, robustness, computational
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fluid dynamics, for example STAR-CCM+ or OpenFOAM. Experience with reduced-order modeling and machine-learning-based surrogate models. Experience with high-performance and parallel computing. Familiarity
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Week 37 Offer Starting Date 1 Apr 2027 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 Research Infrastructure
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well-known for its skilled and very innovative interdisciplinary research environments with high international impact. We perform world-class research, which contributes with solutions to solve essential