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to have experience with: Phase equilibrium calculation algorithms and their integration into CO2 capture simulation Thermodynamic modeling of phase equilibrium and thermophysical properties related to CO2
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tissues and explore potential links with genetics and macromorphological characteristics. To this end, we will employ collection and analysis of tomographic data using state of the art synchrotron 3D
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statistical and machine learning techniques for dynamic energy system modelling Develop advanced optimization algorithms for building energy management and control (e.g., MPC, RL) Develop and evaluate digital
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key responsibilities will include: Designing and implementing advanced LabVIEW and C++ based control software for our HS-DAFM platform Developing specialized signal processing algorithms and circuits
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solutions and policy impacts. You will design and implement machine-learning algorithms that interact with your simulation framework for scenario discovery, building surrogate models of simulation outputs
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transformative advancements in scientific discovery. Responsibilities As a Senior postdoc, you will be able to contribute to designing your own project focusing on implementing cutting-edge algorithms for graph
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research environment focusing on integrating multi-source data and developing novel algorithms to address the challenges posed by global environmental change. You will focus on integrating experiments, field
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The research group of Mikkel Heide Schierup at the Bioinformatics Research Centre at the Department of Molecular Biology and Genetics, Aarhus University, invites applications for a 3-year
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The research group of Mikkel Heide Schierup at the Bioinformatics Research Centre at the Department of Molecular Biology and Genetics, Aarhus University, invites applications for a 3-year
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The Blackford group (https://icmm.ku.dk/english/research-groups/blackford-group/ ) aims to understand the molecular mechanisms that cells use to maintain genome stability, using a combination of genetic