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associate to develop deep learning algorithms: 1) to model 3D protein complex structures and impact of mutations/PTMs on protein structure and interactions; and 2) to dissect functional elements (e.g
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(not all are required): Large-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs, including prompting, fine-tuning
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recycling. Insights gained will also be applied to the development of sustainable terrestrial biotechnologies addressing the plastic crisis, carbon revalorization, critical metal recovery, and circular
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the plastic crisis, carbon revalorization, critical metal recovery, and circular bioeconomy approaches on Earth and in space. We are looking for an experienced scientist in bioengineering, molecular biology
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-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs, including prompting, fine-tuning, or evaluation Machine learning
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, embracing failure as a learning opportunity, and continuously enhancing our knowledge and methods to tackle local, national, and global challenges. The postdoctoral associate will work directly with both
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social justice, including mentorship of graduate and undergraduate students in research methods. They will meet regularly with students to discuss works in progress and other issues. The postdoctoral
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Bezner Kerr’s lab group on food, agroecology, climate change adaptation and social justice, including mentorship of graduate and undergraduate students in research methods. They will meet regularly with
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are required): Large-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs, including prompting, fine-tuning, or evaluation
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advanced systems methods into operational tools used by cities, MPOs, and state DOTs. Position Overview The Postdoctoral Associate will lead and support research in: Transportation systems modeling and