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Postdoctoral Appointee - Investigation of Electrocatalytic Interfaces with Advanced X-ray Microscopy
, physics-informed AI agent that accelerates discovery in catalysis science—particularly for the CO₂ reduction reaction (CO₂RR) and oxygen evolution reaction (OER). The postdoc will design and perform
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dryland environments. The successful candidate will conduct research at the intersection of microbial ecology and plant biology, including the development of experimental protocols, the design and execution
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/maintenance, the collective supervision of graduate and undergraduate students, and dedicated activities related to professional development. Responsibilities: Research: Conduct advanced research in
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publications and the development of practical tools for advocacy, community, and policymaking. The postdoctoral fellows will receive advanced training and mentorship from Dr. Ajibade (co-PI) and Kristin Phillips
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PIs, publish manuscripts, and apply for career development grants. Develops statistical and generative AI models for single-cell and spatial data from the Martin Lab and multimodal (genetic, imaging
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Health Sciences Division and the GEMINI Center members, support grant proposal development and engage with research activities in the department. Similarly, there may be some travel opportunities in
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Institute (PSI) is a multi-disciplinary institute focused on understanding human development, preventing behavioral health problems, and implementing effective interventions in community settings. The PSI
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/program conceptualization and development, grant proposal development, and other related activities. This position will focus on community-based intervention studies and/or longitudinal cohort studies
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the molecular bases of lung development in humans. We invite you to learn more about our research. Training will be provided in grant application preparation. At Baylor College of Medicine, postdoctoral
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for Microelectronics” —a physics-informed AI framework that links composition, structure, and operating conditions to defect evolution and functional performance. The successful candidates will lead experimental