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: The activity will be carried out @ Center for Sustainable Future Technologies (CSFT) – IIT, Via Livorno 60, 10144, Turin, Italy. Step into a world of endless possibilities, together let’s leave something for
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data.You will take ownership of the implementation and optimization of ML-driven models in our antiviral screening pipeline thereby unlocking the full richness of the multi‑parametric data using advanced AI
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at the intersection of these three knowledge gaps. The project will develop a multi-sited, multi-scalar, comparative and theorized ethnography of gender inequality, gender advocacy and gender policies in fisheries in
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analysis? Are you inspired by applications to engineering, physics, or industrial problems? Do you thrive in a multi-disciplinary environment? Information Many of the most challenging problems in science and
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, and HHU. Your Job Develop machine-learning–based workflows and scientific software for segmentation, species classification, and lineage tracking in multi-species time-lapse microscopy data Optimize
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Integration group led by Dr. Jędrzej Szymański. Our group specializes in machine learning, multi-omics data integration, and the development of predictive models for plant gene regulation. We are part of
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format. The application should be registered via Umeå University’s e-recruitment system Varbi (https://umustipendie.varbi.com/en/what:job/jobID:950146/ ) and submitted by the deadline 17th of September