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., long-read spatial transcriptomics) across diverse organs, from the brain to the gonads, with state-of-the-art computational and deep-learning approaches. Projects may also include detailed molecular and
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them using state-of-the-art bioinformatics approaches, increasingly incorporating AI and deep learning (see, e.g., Sarropoulos et al., Science 2026). This work has provided insights into the origins and
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conduct research related to creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI. Basic Qualifications Core
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Enlightenment. For more than 230 years, we have remained true to our founding ethos as a place of useful learning. Today, we are Scotland’s third largest university, with around 30,000 students and an annual
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on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and
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process-based modeling/data analytics/deep learning are preferred. Key Responsibilities: Strong candidates will join or take the lead of one of the following projects: Soil organic carbon model development
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. Demonstrated experience establishing, directing, and expanding multi-stakeholder peer-learning networks, professional associations, or collaborative public sector cohorts. Deep knowledge of public sector data
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Required knowledge Skills Focus proficiency in one programming language (e.g. Matlab, R, Python), machine learning / deep learning / data science skills, basic understanding of cell and development
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the position of: Lecturer for the Module M06 'Advanced Deep Learning' 10 ECTS (18%) Start date: August 1st, 2027 Module completion: each autumn semester (beginning of August to end of January) Description
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campus community located in the city’s cultural corridor, Buffalo State prides itself as having smaller learning environments coupled with larger university opportunities. Boasting a diverse and inclusive