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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
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developing students’ talents and creating applicable knowledge to support social and economic advancement. Applications are invited for : Research Assistant Professor in the Department of Mathematics [Ref. T
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Offer Description The postdoctoral researcher will lead the pharmaceutical development of a solid diagnostic kit, assuming responsibility for both the formulation strategy and the development
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Artificial” of the Agencia Estatal de Investigación. The project is developed in collaboration between IREC and ICN2 and aims to integrate Artificial Intelligence into experimental design and simulation
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dispersion model (PACT-1D) that was recently developed to include state-of-the-art iodine chemistry alongside bromine and chlorine (collaboration : Stutz group, UCLA, see Fritzmann et al. 2023). The model will
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environmental quality. The fellow will contribute to field and laboratory studies, data analysis and modeling, publication of results, and development of decision-support tools for producers, advisors, and agency
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) develops advanced optical technologies, including imaging, spectroscopy, and laser ablation methods. Our goal is to bridge these cutting-edge laser technologies with clinical practice, developing solutions
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to understand how the environment drive pathogenic T cells. The goal is to develop novel therapies for systemic lupus erythematosus and other autoimmune diseases and deliver them in first-in-human studies at UTSW
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facilities. Lab website: https://www.unmc.edu/pathology/faculty/bios/ng.html The ideal candidate will have a strong background in cellular and molecular biology, malaria parasitology, demonstrated success as a
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
Position overview We are seeking applicants for an 18-months postdoctoral fellowship focusing on the development of an AI-based phenotyping system for high-throughput screening for aphid