12 machine-learning-"https:"-"https:"-"https:"-"IFM" research jobs at Purdue University
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advanced data science methods, including statistical modeling and machine learning approaches Developing and applying novel causal inference methods, such as target trial emulation and causal AI frameworks
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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protocols and record lab ativities accurately Strong attention to detail and organizational skills Ability to work collaboratively with faculty, staff, and students Willingness to learn new techniques and
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quantitative expertise in one or more of the following areas: human decision making; decision modeling; human-machine interaction; human perceptions of AI; large language models; data simulation; machine
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simulation models used in rare-event searches, develop machine learning methods for background rejection, and place constraints on new physics using LZ datasets. In addition, the postdoc will lead the
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, towards future colliders. Cutting-edge machine learning developments for classical and quantum computational platforms are pursued in the group to benefit particle physics and beyond. Experience Candidates
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environmental data to uncover the impact of early life experiences on long-term mental health. You can learn more about the Lab’s work on baby teeth on our website: www.teethforscience.com As a Postdoctoral
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. Assist in the mentorship of junior lab members ? Learn transferrable skills to become a successful PI Act as a subject matter expert for the team in DNAm, biomarkers of mental health risk, and statistical
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Indianapolis, Indiana is seeking a Research Assistant to join our team. The Research Assistant will be responsible for recruitment and data collection for NIH-funded projects on language learning. The position
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to the AI Working Group and further develop the College’s AI Initiatives webpage; (4) organize and host the college’s Bi-Weekly AI Lunch & Learn Series; (5) develop short “translational” research products