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aligned with the aims of the Addiction & Decision Neuroscience Lab (ADN). Current work focuses on cognitive modeling of decision-making in both laboratory tasks and real-world settings, as well as machine
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candidate will work at the forefront of exoplanet research and will have the opportunities to extract scientific results from multiple JWST programs, develop and apply advanced atmospheric and surface models
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geophysical monitoring, data integration, and the development of predictive models and visualization tools. Candidates should have a PhD in geophysics, hydrology, environmental engineering, or a related
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focuses on investigating how biomedical implant degradation products modulate host immune responses using advanced cellular and murine models. The overarching goal is to develop novel therapeutic strategies
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mouse model studies are needed for this position. Among the key duties of this position are the following: Treats and assesses mouse models of neurodegenerative disease using behavioral tests. Breeds
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research on characterizing non-coding regulatory elements in humans and understanding how these elements change across different conditions. The project will involve developing new modeling approaches
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: Strong skills in developing biosignal processing algorithms and implementing machine learning models for data interpretation. Technical Oversight: Ability to monitor complex data collection processes and
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collaborative and interdisciplinary research environment. Preferred Qualifications Experience with computational structural biology, molecular modeling, or AI-assisted drug discovery is desirable but not required
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(TurboID), phosphoproteomics, and mouse models (including bGHTg acromegaly mice and breast cancer xenografts), we aim to uncover fundamental mechanisms of IGF1R antagonism and develop peptide‑based
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model and behavior, 2) animal survival and non-survival surgeries 3) confocal/two photon imaging, 4) synaptic biology or physiology. Candidates in ABD (all but degree) status will also be considered