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as a project leader and interact/coordinate with similar research projects. Conduct research projects and coordinate the analysis, evaluation, and report on phases of the project(s); this may include
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. The questions we probe and the answers we seek focus on three overlapping concerns: We believe that achieving next-generation scientific breakthroughs requires an understanding of the world’s complex
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
; design and optimize synthetic strategies for complex peptides, peptide libraries, and small proteins; develop scalable production methods using solid-phase peptide synthesis and native chemical ligation
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are now seeking a highly motivated postdoctoral researcher with expertise in spatial omics, image analysis, and computational analysis of complex biological data. Work duties The main duties involved in a
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Gadhave in the Gadhave Laboratory (https://tx.ag/gadhavelab) at Crop Stress Lab (Texas A&M AgriLife Research), Bushland, TX. Responsibilities: Independently lead research projects focused on plant virus
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cancer. The role involves designing and executing complex experimental studies involving drug target evaluation, molecular pharmacology, cell culture models, and in vivo xenografts to evaluate targeted
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and industrial partners working in quantum materials and cryogenic SPM Analysis and publication of results, participation in student supervision, and contribution to technology transfer activities
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Associate (I-V), Psychiatry Posting Number req27123 Department Psychiatry Department Website Link https://psychiatry.arizona.edu/ Location Tucson Campus Address 1501 N. Campbell Ave., Tucson, AZ 85719 USA
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line with relevant standards Computational optimization of developed tools for commercial integration Integration of surgical complexity predictions Interacting with clinical and industrial partners
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function based on a coupled NEMS network, consisting of 2 or more double-drum resonators. This is beyond current state of art and relies on deep understand of more degrees of nonlinear complexity