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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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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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) methods. Demonstrated proficiency in Python and machine learning frameworks (e.g., PyTorch, Jax, scikit-learn) applied to genomic/related datasets. Experience with sequence modeling architectures and
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some of the following areas (not all are required): Large-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs
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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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will demonstrate strong training and experience in qualitative and/or quantitative research methods. Pay Range: $62,232.00 - $88,745.00 Pay Ranges: The hiring rate of pay for the successful candidate
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, is seeking a Postdoctoral Associate with expertise in qualitative and/or mixed methods research. Our lab is passionate about conducting research that helps transform STEM education and career training
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the university. CAROW connects research on work with the practice of putting it to use. CAROW provides a platform for new interdisciplinary approaches, innovative methods, and nimble resourcing with
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that describes your approach to teaching undergraduates in the Milstein Program, who have diverse interests and backgrounds, and your methods of fostering interdisciplinary dialogue and understanding across STEM