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Skip to content Academic Personnel & Faculty Position Details Fellow non-ACGME Global and Rural Health Fellow Position Overview Organization: Medicine, Allergy & Infectious Diseases Title: Fellow non-ACGME Global and Rural Health Fellow Position Details Position Description The University of...
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Postdoctoral Fellow will support the delivery and continuity of the ERMA instructional sequence, with an anticipated teaching load of three graduate-level courses per semester. JOB DESCRIPTION SUMMARY
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state-of-the-art machine learning/deep learning models for RNA sequence design, structure prediction, and property optimization. Process, curate, and model high-throughput screening and genomics
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, sequence alignment, and annotation. Strong quantitative and statistical analysis skills for experimental data interpretation. Rigorous scientific documentation practices, including maintenance of
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education courses. Applicants should be prepared 1) to identify and guide students through fundamental questions in a Core sequence and 2) to contribute meaningfully to the instructional community and
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representation learning, dynamical systems, sequence generative models and world modelling. Emphasis will be on methods that design and implement new architectures for latent dynamic modelling to
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genetic manipulations to study sensory processing and motor sequence generation. Analyse experimental data, maintain reproducible research records and interpret findings in relation to neural circuit
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discipline. Strong background in machine learning/data science, with hands-on Python and experience with modern ML frameworks. Experience with one or more of time-series/sequence modelling, state estimation
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utilization of resources (equipment, chemicals, gases, and consumables) in alignment with research priorities. Establish and maintain laboratory-level management systems (e.g., inventory tracking, equipment
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AI and machine learning models using this data. The position entails close collaborations with multiple groups. CHARACTERISTIC DUTIES · Analyze large single-cell molecular profiling datasets to