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the formation of radical intermediates. The postdoctoral fellow will be in charge of the experimental work, analysis (NMR, HRMS, HPLC…), the writing of scientific reports, and will supervise in the lab area PhD
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: Design and implement AI/ML pipelines for multi-omics data integration, including supervised and unsupervised learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph
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of science and technology in Okinawa Prefecture, Japan. The university is located on 85 hectares of protected forestland overlooking beautiful shoreline and coral reefs. The campus is striking architecturally
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chemical reagents and modulators using custom-built flow cells. Thus, you will be involved in both traditional chemical methodology as well as hardware development and automation. The position is in close
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environment. Applicant Profile (Requirements): PhD degree or equivalent obtained within the last 3 years in one of the following fields: Physiology, Neuroscience, Molecular Biology, Biochemistry, Medicine
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mouse mutants and techniques such as single-cell RNA sequencing and live confocal whole-mount imaging. We offer an international, inspiring, and supportive research environment and excellent research
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accelerators for science. Currently, the new FAIR (Facility for Antiproton and Ion Research) one of the world's largest research projects, is being built in international cooperation. GSI and FAIR offer
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, trends, drivers and impacts of non-native plant species in mountain ecosystems' (GloNoMo), in collaboration with the Global Observation Research Initiative in Alpine Environments (GLORIA ) and the Mountain
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for cognitive science and artificial intelligence, including about 35 PhD students. Core research domains include cognitive science, machine learning, deep learning, games, virtual reality, computational
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F. Korstian Distinguished Professor of Forest Economics and Management in Duke’s Nicholas School of the Environment, is hiring a full-time postdoctoral associate to collaborate with him on research