578 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in United States
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artifacts, and developing an independent research agenda in AI for science. Core responsibilities include: Leading research on foundation models, including problem formulation, algorithmic development, and
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biology. Experience in neural development, breast cancer, signal transduction, metabolism, autophagy, glia cells, cerebral organoids, and genetic mouse models. Experience in scRNA-seq and snRNA-seq is ideal
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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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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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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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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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the research and development of a robotic concrete 3D printing system and other tasks that are assigned to you. Core Responsibilities: Perform the research and development of robotic concrete 3D printing systems
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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
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development, and implement mechanistic maternal–fetal PBPK models. The candidate will perform model development, qualification, and simulation studies. They will integrate dose–exposure–response modeling by