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Field
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process diagnostics with closed-loop process control of AM platforms, and work with fellow researchers to implement machine learning algorithms based on in-situ data collection and analysis. Minimum
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, quantitative genetics, and large-scale omics data, etc. Develop next-generation breeding algorithms and decision-making engines for crops, livestock, poultry, and aquaculture applications. Create original AI
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. The project is based on a close collaboration with researchers at the Department of Immunology, Genetics and Pathology (IGP) at Uppsala University and SciLifeLab . About the DDLS research program The PhD
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The Associate in Research will be responsible for using and developing computational algorithms to analyze single-cell and spatial-omics datasets. Specifically, we have multiple projects where we are generating
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opportunity to develop cutting-edge AI-enhanced algorithms for analyzing transposable elements (TEs) in cancer epigenomics, with direct translational applications to precision oncology and immunotherapy
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, quantum resource theories, near-term algorithms, and quantum error correction. Candidate will help prepare DQC laboratories for a cryogenic chamber to house SiV:diamond quantum memory at temperature <1K
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Project Overview The DiSTAP programme addresses deep problems in food production in Singapore and the world by developing a suite of impactful and novel analytical, genetic and biosynthetic
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detailed documentation of AI models, algorithms, and system architecture; ensure compliance with data privacy and security standards. Perform all other duties as assigned by the Associate Dean
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Professor will be responsible for teaching undergraduate and graduate courses in computer systems and algorithm design on a temporary basis. Teaching may be in our core courses alongside other faculty
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the Department of Molecular Biology and Genetics, Aarhus University, Denmark. The position is part of the project RIBOTICS (RNA Origami Technology in Cell Systems) funded by an Advanced Grant from the European