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The Mathematics and Computer Science Division (MCS) at Argonne National Laboratory is seeking a Postdoctoral Appointee to conduct cutting-edge research in scientific machine learning, focusing
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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slide scanner imaging. Data analysis Applies complex statistical analysis tools to data acquired from electrophysiology and imaging. Interprets differences in data, and designs follow-up experiments
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, teamwork, and discovery in finding new approaches for analyzing massive and complex data, collaborating with experts, and publishing significant results. Major Duties and Responsibilities: As a Computational
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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conduct detailed complex scientific studies, functioning as a subject expert on one or more phases of the project(s). They will prepare and/or present seminars, talks or lectures for dissemination
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-on experience in preparation and analysis of proteins, nucleic acids, and complexes thereof. Requires in-depth understanding and hands-on experience in molecular cloning and sequencing Experience in handling
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translation complexes preferred. Effective spoken and written English required. High level of computer literacy required. Experience in chromatography (including FPLC and preferably including HPLC) and
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or projects under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and complex piece of research
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, United States of America [map ] Subject Area: Computational Fluid Dynamics and Wave Propagation Appl Deadline: 2025/09/01 11:59PM (posted 2025/08/04, listed until 2025/12/19) Position Description: Apply