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Applications are invited for a 2-year postdoc position on the topic of the Gut-Brain axis at the Department of Molecular Biology and Genetics, Aarhus University, Denmark. You will join a new lab
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the loop and using active learning to determine which demonstrations to collect. The candidate would work on both projects and be responsible for: Implementing AI and probabilistic ML algorithms Development
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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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-based topology optimisation and de-homogenisation Adaptive meshing algorithms for topology optimization PDE-driven topology optimisation methods Research fund application Collaboration with industrial
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research group The research group is led by Associate Professor Rasmus O. Bak . The group specializes in genetic engineering using various CRISPR/Cas platforms, and we focus on applying these for gene
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genetic manipulation of (non-model) bacteria Demonstrated ability to work independently, take initiative, and drive projects forward Well-organized, reliable, and motivated to help establish a positive
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A postdoc position in the Torben Heick Jensen lab, Aarhus University, Denmark: Mammalian Nuclear ...
A postdoc position is available in the laboratory of Torben Heick Jensen at the Department of Molecular Biology and Genetics, Aarhus University, Denmark. Expected start date and duration of
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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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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