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Researcher position focusing on techno-economic optimization and feasibility assessment of carbon capture, utilization and storage (CCUS) integration and CO2 hub development at Nybro, Denmark. Starting date
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/MS experiments, with emphasis on negative ion mode Develop and optimize fragmentation strategies for peptide analysis under collisional- and electron-based dissociation regimes Investigate gas-phase
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on holistic understanding from regional net-zero. The PhD project is part of the Regional Energy, Carbon and Land Management initiative, focusing on optimizing energy infrastructure, land use and carbon flows
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projects; this can entail working alongside domain experts to extract relevant knowledge, and programming using suitable models to infuse that knowledge with ML methods, thus aiming to optimize performance
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factories for sustainable production of high-value compounds Synthetic biology and pathway optimization for bio-based molecules and metabolites Development of phototrophic or heterotrophic platforms
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in areas such as dose optimization, image quality improvement, and the advancement of imaging technologies. These focus areas are indicative rather than exhaustive. The role requires a focus on
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Programming in Python, R, SQL, Java, or similar languages Spatial and spatiotemporal methods when relevant, including geo-visualization, spatial optimization, and spatially explicit modelling for sustainability
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interfaces, and IoT front-ends; analog-digital co-design and system-level optimization in advanced CMOS technologies; circuit techniques for variability tolerance, calibration, and reliability. Evidence of
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flexibility orchestration Scalable data and machine learning pipelines Digital twin architectures for cyber-physical energy systems AI-based energy system modeling, simulation, and optimization Secure and