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, Prof Anton van den Hengel and his research team to publish research outputs. The candidate will need to demonstrate agility in managing and leading multiple projects and work independently in this ever
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clinical translation. Our work is supported by multiple NIH grants, including funding from NIAMS, the NIH AMP-AIM Team Science Leadership Scholars Program, and the Office of Research on Women’s Health, as
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are: Technical Expertise in developing applications with Generative AI and LLMs such as GPT, Claude, or Gemini and demonstrated experience with Python. Excellent with follow-up and follow-through
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, operational reports, and dashboards across multiple data domains supported by the UFIT Enterprise Reporting and Analytics team. Provide direct customer support to ensure availability and performance of existing
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intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet
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language for scientific computing (C/C++, Matlab, Fortran, Python, Julia, …) Good communication skills and willingness to work in collaborative projects with multiple partners and present results
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/C++, Matlab, Fortran, Python, Julia, …) Good communication skills and willingness to work in collaborative projects with multiple partners and present results at conferences, project meetings and
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: Develop, lead and carry out research activities that cut across multiple research and innovation areas. Contribute to joint research outputs and innovation prototypes that integrate results from different
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developing curriculum and leading strategic research workshops Expertise in multiple statistical software programs (e.g. SPSS, STATA, R, Python, etc.) Proficiency in one or more data visualization programs
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welfare benefits. One on one mentorship with PI of the lab and daily discussions. Opportunity to work in multiple animal models of motor behavior. Exposure to cutting-edge scientific research and