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) and the Laboratory of Renewable Resource Engineering (LORRE) at Purdue University are seeking a postdoctoral researcher to work on funded research projects focused on biofuel & biochemical synthesis
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programs related to human genetics genomics with focus on Alzheimer's disease and related dementia, developing best practices and implementing workflows, co-supervision of postdoctoral fellows, students, and
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. Yihang Zeng at Purdue University, is seeking a highly motivated and capable Postdoctoral Research Associate to work at the forefront of two-dimensional (2D) materials research. The successful candidate
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
postdoctoral scientists, two full-time administrative staff, and 13 graduate students. The department teaches pharmacology, therapeutics, and toxicology to medical, dental, graduate, and nursing students. A wide
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
focused on developing potent CAR Treg based therapies for neurological and hepatic disorders and assessing immune response to gene editing based therapeutics delivered as AAV or LNPs. Postdoctoral Associate
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Los Alamos National Laboratory, Theoretical Division Position ID: Los Alamos National Laboratory -Theoretical Division -NAPD [#28138] Position Title: Position Type: Postdoctoral Position Location
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record of scientific communication (e.g., peer-reviewed publications, presentations). Preferred Qualifications Post-bachelor level research on origins of life. Postdoctoral research experience. Background
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Date 04/17/2025 Requisition Number PRN41671B Job Title Post Doc Res Assoc Working Title Post Doc Res Assoc Job Grade A00 FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per Week 40
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measure leg-generated forces. Investigate relationships between neural activity, muscle properties, and joint movement. Code in MATLAB or Python for data analysis, modeling, and tracking tasks. Assist with
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focus more on model development, robustness, and long-term reliability. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust