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proofreading, annotation and analysis of connectomics data. This will include whole-brain scale analysis of multimodal features such as connectivity, morphology or cell ultrastructure. Of particular interest
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connectome, with a focus on the chemosensory circuits involved in human host-seeking. The principal focus will be on the high level proofreading, annotation and analysis of connectomics data. This will include
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IUT, in Diophantine geometry, in applications of modern mathematics to deep neural networks, and related areas. The previous research work has been partially supported by research grants from several
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working in radiological environment. Experience in heat transfer and thermal modeling/simulation using finite-element analysis (FEA) or other software. Ability to work within a multi-disciplinary team
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Medical Physics in Radiation Oncology is seeking, in close cooperation with the Division of Radiooncology/Radiobiology
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(https://www.naritalab.com/ ) seeks a skilled Research Assistant for a 3-year fixed-term role starting October 2025. The Narita Laboratory investigates the interplay between cellular senescence and tumour
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satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in epidemiology, biostatistics, applied mathematics, data science or other related disciplines. They should have strong
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, and wireless communications Proven track record of publications in relevant IEEE journals and conferences Extensive experience in physical layer algorithm design and performance analysis In
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in physical layer algorithm design and performance analysis Proven track record of publications in relevant IEEE journals and conferences In addition to the above qualifications, it is highly desirable
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science