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Northwestern, TTIC, and UIC. Postdoctoral researchers will conduct research on key aspects of the foundations of data science. This field includes relevant areas of Theoretical Computer Science, Machine Learning
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At the Technical Faculty of IT and Design of the Department of Sustainability and Planning, Copenhagen, a position as Postdoctoral researcher in Geospatial Machine Learning for Predicting Land Use
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publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential. Additionally, the candidate should possess an excellent
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. graduates and doctoral candidates nearing graduation who have research interests in applied statistics, machine learning, or computational biology to apply for our postdoctoral fellows program. This program
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resilient future. The Postdoctoral Associate will have the opportunity to align with the most relevant academic department in the College of Architecture, Art, and Planning and teach one course per year
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interest in social science applications, and with strong competence in statistics and machine learning. The successful candidate will develop predictive models using machine learning and work alongside other
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) for data analysis, numerical modeling, or machine vision Supervision Exercised This position carries a high degree of independence. The Postdoctoral Associate will meet with the PI at least twice per week
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Assistant Director, Baylor Synthesis & Drug-Lead Discovery Laboratory & Associate Research Professor
personnel including research scientists, postdoctoral fellows, graduate & undergraduate students, and technical staff Ensure compliance with safety regulations, institutional policies, and regulatory
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, educators, students, and professionals. Together, we’re unlocking the fundamentals of biology and building an open, inclusive future for science. We have an outstanding opportunity for a Postdoctoral
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neuroscience. The position is open under specific projects as well as general research involving the application of methods from theoretical physics, mathematics, and machine learning with the goal to understand