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activities will primarily involve wet-lab work and library preparation for spatial transcriptomics—including quality control—as well as the generation of spatial transcriptomics data from tumor samples. Where
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analysis, scientific computing, machine learning, data science, imaging, biology, nonlinear optics, and fluid mechanics. https://www.smu.edu/dedman/academics/departments/math. Many additional
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motivated postdoctoral researcher to join our group at the Institute of Genetics and Development in Rennes (IGDR), France ( https://igdr.univ-rennes.fr/en ). Research in the Cyclochondria team led by Giulia
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needs through innovative biomedical research and engineering solutions, translating basic science into medical knowledge and healthcare innovations. The Pediatric Disease Modeling Lab (https
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start date of August 2027. Strong applicants from all areas of Statistics or Data Science with Statistics focus are encouraged to apply; however, particular interest is for applicants with expertise in
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, simulation, and data analytics to mobility systems, with particular emphasis on modeling, scenario evaluation, and decision support. Collaboration in teaching activities includes supporting courses
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courses offered in our program can be found at: https://syllabi.iu.edu/ Responsibilities Full-time lecturer-track faculty commit to a balanced workload of teaching and service, which includes
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long-term agreement established with the Italian Space Agency (ASI) for "Research and development activities to build innovative capabilities”. Analyses of data from space experiments will be conducted
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medical/clinical history data required for the study. Collaborative Activities: internal synergy (UNIMORE) with the Units of Obstetrics-Gynecology, Neonatology, and Pediatrics for patient recruitment
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Università degli Studi di Roma Tor Vergata - Dipartimento di Ingegneria Civile e Ingegneria Informatica | Roma, Lazio | Italy | about 2 months ago
, symmetries, and prior biomedical knowledge into data-driven equation discovery frameworks. The project aims to develop rigorous methods for extracting analytical models from experimental, clinical, and