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Bayesian machine learning for robotics applications in industrial manufacturing and medical diagnosis, SDU Robotics invites applications for one or more fully funded Research Assistant positions
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to: Gas sensor selection and characterization Embedded system integration Mechanical design (CAD) and 3D printing Data collection and analysis Basic machine learning for sensor data interpretation Start
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, bioinformatics, aging biology, epidimological data and AI-driven systems modeling. The successful candidate will develop and apply computational and machine learning approaches to decode the molecular and
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handling robot, and running our Illumina NovaSeq instrument and other instrumentsrelated to NGS e.g., qPCR machine and Fragment Analyzer. In addition, you will be involved in supporting the research projects
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Computer Vision There is growing trend towards explainable AI (XAI) today. Opaque-box models with deep learning (DL) offer high accuracy but are not explainable due to which there can be problems in
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work, among other things on song learning in songbirds, hearing in frogs and bats and the effects of anthropogenic noise in marine mammals. Our research uses a number of methods within physiology
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researchers to gather necessary information and carry out assigned tasks efficiently. DIEM - Digital Entertainment Machine is a research project that explores how ordinary people use digital entertainment in
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human