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Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a
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structure–property relationships in metal halide perovskites at an atomistic level”. This collaborative project will establish structure-property relationships in hybrid metal-halide semiconductors
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Job Description If your background is in machine learning (ML) and you have a desire to make discoveries in health sciences, then this position as Postdoc is your possibility. In this collaboration
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
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of Jacksonville. JaxLab’s mission centers on community-engaged scholarship, transdisciplinary collaboration, and real-world impact, with an emphasis on resilient, equitable, and design-driven futures. The Florida
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should possess good verbal and written communication skills in English, the ability to work productively and independently in a collaborative environment, strong problem-solving skills, and be willing
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candidate will be embedded in Professor James Arnold’s Tumour Immunology Group, where they will contribute to and support the development of ongoing research projects across the School, in a collaborative
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., active learning and other data-efficient approaches Conduct large-scale benchmarking and comparative evaluation of gene perturbation models across diverse single-cell datasets Collaborate closely with
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strategies for acute and chronic leukemias. The successful candidate will craft independent experiments, analyze patient‑derived leukemia phenotypes, and author high‑impact manuscripts while collaborating
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learning applications in healthcare Strong problem-solving skills and ability to work independently and collaboratively Excellent communication skills and fluency in spoken and written English Demonstrated