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processes, targeting annual savings of £280,000. Responsibilities include creating and refining models to predict particle behaviour, calibrating them to 95% accuracy, and establishing sensor systems for real
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to recruit a Doctoral Researcher for a 3-year position within the research project Musical Sharing in Copresent Time and Space (MUSICOTAS, https://www.jyu.fi/en/projects/musicotas-2025-2029 ). The contract
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scientific project NALUNG at Rīga Stradiņš University. “The NALUNG (Multi-Omics Analysis for Predicting Response and Adverse Events to Neoadjuvant (NA) Treatment in Re-sectable Non-Small Cell Lung Cancer
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genetics to predict breast cancer risk and tumour aggressiveness in BRCA variant carriers Digital biomarkers for enhanced AI-guided therapy in heart failure (D-BEAT) Experimental models for optimizing
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/beverage items to meet regulatory compliance standards and prevent foodborne illness. Maintains a clean work environment. Follows Hazard Analysis Critical Control Point (HACCP) guidelines when handling food
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that contribute to the control of viral infectious diseases. The lab’s research focuses on two main areas: (A) developing AI technologies to predict genotype–phenotype relationships of viral proteins, and (B
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(Jumpei Ito laboratory), Department of Biological Informatics, Research Institute for Microbial Diseases, Osaka University aims to develop bioinformatics technologies that contribute to the control of viral
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process systems engineering. The position aims to advance physically consistent and predictive thermodynamic modeling, including the integration of advanced machine learning methods, to support process and
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of £280,000. Responsibilities include creating and refining models to predict particle behaviour, calibrating them to 95% accuracy, and establishing sensor systems for real-time data acquisition. You will
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knowledge of process systems engineering. The position aims to advance physically consistent and predictive thermodynamic modeling, including the integration of advanced machine learning methods, to support