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Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops interpretable and autonomous artificial intelligence (AI) systems for biological and biomedical research. Our neuroscience
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deep learning to support ongoing research projects involving large-scale healthcare and biomedical datasets. The Research Assistant will work closely with faculty on data-driven research, model
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-driven food quality control and processing; Food safety - supply chain tracking/monitoring, blockchain Biotechnology: Host strain screening and engineering for microbial bioprocess development; microbial
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20 Dec 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Modelling tools Computer science » Programming Engineering » Civil engineering
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of hydrological connectivity of soil moisture using gridded soil moisture data sets and data-driven approaches (e.g., complex network methods) Develop models to predict gatekeeper locations and their relationship
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scientist-engineer hybrid to deploy AI-driven discovery platforms directly with portfolio research teams. You'll bridge the gap between cutting-edge agentic AI systems and real-world drug discovery workflows
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. Collaborate with partners in signal processing and machine learning to link physics-based models with data-driven algorithms. Participate in joint research activities, publications, and dissemination through
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business problem scoping to deployment and monitoring of production-grade models-with a focus on both Generative AI and Deep Learning. The ideal candidate holds a Ph.D. in Deep Learning or Generative AI and
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approaches. Further information can be found here https://www.citystgeorges.ac.uk/about/schools/science-technology/engineering#tabs580800-link580809 Responsibilities The roles are expected to support the
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, Computational Linguistics, Machine learning, Computer Engineering or related fields Preferred Qualifications: ● Strong experience implementing and training deep learning models in PyTorch, with attention