72 phd-in-architecture-interior-design-built-environment Postdoctoral positions at University of Minnesota
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research projects within the laboratory. 80% laboratory activity – designing bioactive molecules and evaluating their function in vivo 10% research communication – preparing manuscripts for publication and
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that individual hired in this position will be actively involved in all aspects of the lab activities including reviewing literature, refining experimental designs, animal care and handling, travel for research
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Doctoral Fellowship position (9546 Post-Doctoral Associate). Minnesota is a leading hub of long-term care innovation in the United States. It is often ranked at or near the top of the American Association
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& Biobehavioral Catch-Up). Potential research opportunities include designing clinical and scientific protocols, scientific writing, interpreting results, co-authoring manuscripts, and submitting research grants
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environment where every member has the opportunity to grow intellectually and professionally. Position Summary We are seeking a highly motivated and creative scientist to join our team as a Postdoctoral Fellow
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: The University of Minnesota endorses a “Work. With Flexibility. ” and we offer a flexible work environment that meets the needs of our students, faculty, staff, and partners we serve.This position will
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duties include: * Design and completions of experiments (75%) * Communicate findings in written (i.e. manuscripts) or oral (i.e. presentations) formats (10%) * Assist in planning and preparing research
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the fundamental science that will lead to realizing the potential for the subsurface storage of CO2 through mineralization. Successful candidates should have a PhD in earth sciences, chemistry, environmental
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for H-1B visa sponsorship. Qualifications Required: Required PhD in Physics or Astrophysics by beginning date of appointment Preferred: Experience with the design and construction of high energy or
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Institutional Review Board (IRB) protocols. ● Design and execute data analysis pipelines using statistical methods and advanced computational tools. ● Translate complex findings into clear data visualizations