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Preferred Qualifications: Experience with one or more of the following: Building novel 3D and super-resolution ultrasound systems. Developing deep learning algorithms for 3D biological data. Designing and
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Aarhus University invites applications for a postdoc position at the Department of Molecular Biology and Genetics. The project focuses on applications on de novo protein design and its applications
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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type (iv) work with the computational biology team to transfer this information into a AI algorithm that can distinguish neurodegenerative and neuroprotective phenotypes (v) work with colleagues in
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with SciLifeLab, world leaders in spatial biology. The Engblom lab recently developed a new method to study B cells and B cell receptors within their tissue microenvironment using spatial
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with SciLifeLab, world leaders in spatial biology. The Engblom lab recently developed a new method to study B cells and B cell receptors within their tissue microenvironment using spatial
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education at the department occurs in an international environment and is focused on animal biology. Outstanding and high impact research is conducted in a variety of fields, including evolutionary biology
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for robotics Robotics simulation and synthetic data generation Robot manipulation Deep learning-based planning You preferably have experience working in a biology or chemistry laboratory environment
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developing new algorithmic approaches for TAPS data, interpreting the results in the context of phenotypic observations, and communicating these findings clearly to the broader team. You will prepare the
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29761BR Ecology & Evolutionary Biology Position Overview The Kelly, Macdonald and Unckless research groups use a range of genetic, genomic, and statistical techniques to address basic questions in