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-based focus, and continued education and knowledge dissemination. Your work tasks The work is shared between two projects. One project is across the North Sea region, addressing safety-critical water
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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling
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involve teaching assignments. You will work closely with other postdoctoral researchers, PhD students, and senior scientists at the department and across the consortium. Key tasks include: Conduct
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peptide ions, including charge state behavior and fragmentation pathways Independently operate, optimize, and troubleshoot state-of-the-art MS instrumentation, including Orbitrap platforms and TIMSTOF
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and power (CHP), and application-specific energy storage systems. We are also exploring how quantum computing can unlock new optimization and control strategies in future power systems. Our projects
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modelling methods to design resistance-proof antibiotics. You will join an interdisciplinary team, integrating machine learning, medicinal chemistry and microbiology. You will work with Asst. Prof. Eli N
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generation Developing and optimizing generative models for de novo binder design Collaborating closely with wet lab scientists who will express and test the designs that have been created Developing scalable
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support for professionals at Aalborg University! This interdisciplinary project investigates how generative AI can be incorporated into the building design and operation process. Particularly, we seek
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chemistry of peptide ions, including charge state behavior and fragmentation pathways Independently operate, optimize, and troubleshoot state-of-the-art MS instrumentation, including Orbitrap platforms and
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to improve and optimize stem cell differentiation and manufacturing. As our new colleague you will be part of a diverse and multi-disciplinary team, which is engaged in machine learning and has a drive to make