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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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: 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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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
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Required Knowledge, Skills, and Abilities Excellent quantitative analytical skills, particularly in longitudinal modeling, administrative data analyses, and causal inference methods. Understanding of HIPAA
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investigator, the Post Doctoral Associate conducts highly specialized and technical research involving animal models of cardiovascular disease. Among the key duties of this position are the following: Designs
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, receptor signaling assays, in vivo mouse models, and molecular or immunological techniques under the PI’s guidance. Meets with the principal investigator to establish goals and objectives for ongoing
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T-cell Acute Lymphoblastic Leukemia (T-ALL) using mouse models under the supervision of the Principal Investigator. The Postdoctoral Associate also performs research, experiments, and laboratory
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/2 inhibitors across multiple preclinical models of neuropathic pain, advancing lead compounds toward therapeutic development. The postdoctoral fellow will play a central and intellectually engaged
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, 41512056). This position will have the opportunity to gain strong training in cancer metabolism, cell growth signaling, and mouse models. The position is aiming at publishing high-profile papers and pursuing