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Field
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fluvial studies, marine geoinformatics, maritime spatial planning and coastal zone management and coastal water properties. We conduct research at several research stations and supersites in Finland, where
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fair access to opportunities (employment, healthcare services, education) and mitigating spatial inequalities; - develop (deep) learning models for spatial structures and dynamic graphs to support the
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focus on the conceptualisation and prototyping of spatial data infrastructures and registries for space environments and objects. The role involves research into spatial data models for representing
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Development Laboratory , directed by Dr. Hilary Barth, and the Sleep and Psychosocial Adjustment Lab , directed by Dr. Royette T. Dubar. Dr. Barth’s research interests include numerical and spatial cognition
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, progression, and therapeutic response. This research is fundamental to advancing our knowledge of cancer and improving patient outcomes. See further information at the lab webpage: https://odin.mdacc.tmc.edu
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join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops explainable, autonomous, and multimodal artificial intelligence (AI) systems to advance biological discovery. Our research integrates
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interested in candidates eager to explore the interface between cell wall mechanics and soil physical properties applying spatial gene regulation to understand root biomechanics. This position is ideally
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imaging, quantitative biophysics and high-resolution electron microscopy to visualise ER–NE architecture across spatial scales - from nanometre-resolution tomography to real-time dynamics in living cells
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research position under the supervision of Dr. Chris Smith Home | Chris Smith . The lab— in the Evolution, Ecology, and Behavior section—investigates machine learning approaches for spatial population
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successful candidate will work in the AI in Medicine Lab, applying machine learning to cutting-edge problems in cancer genomics, transcriptomics, spatial transcriptomics, and large-scale bioinformatics