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develop digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases. Analyzes complex sensor data, works with a multidisciplinary team to develop health
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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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plants). The associate will develop rigorous, scalable methods—spanning physics-based and data-driven models—for optimal power flow, demand response of flexible loads, transient/stability-aware dispatch
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to a deeply decarbonized and reliable energy system. The Postdoctoral Fellow will work closely with the project directors and collaborators to develop data-driven and economically grounded frameworks
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minimal supervision, including designing experiments, formulating new ideas related to projects, executing experiments proficiently and timely, and analyzing data professionally. The candidate is expected
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Description Conducting laboratory research and assisting with data acquisition and data organization. Helping with laboratory assays, including microbiology and microscopy based analyses. Job Location - City
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . JOB DESCRIPTION AND POSITION
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latent class models. Additional Information: The postdoc position is full-time with a competitive salary that includes excellent fringe benefits. The appointment is for a minimum of one year, with renewals
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education, quantitative methodology, or related fields (can include time during graduate-level training). • Experience with data analytics and scientific writing skills as evidenced by rigorous scholarship
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, veterans, and other underrepresented groups. For more information on the University’s Policy on Non-Discrimination, visit: Ferris Non-Discrimination Statement . Advertised:23 Mar 2026 Eastern Daylight Time