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the Advanced Fibers Manufacturing Group in the Manufacturing Science Division (MSD) at Oak Ridge National Laboratory (ORNL), this position provides an exciting opportunity to work at the forefront of materials
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, or podoplanin/lymphangiogenic markers). Interest and willingness to develop an integrative dental–neuropathology research program, extending oral-pathology methodology into oral–brain axis biology, periodontal
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Qualifications MD or PhD in biochemistry, molecular or cellular biology, physiology, biophysics, computational science, biotechnology, biomedical engineering, or related field by time of hire. Documented ability
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, or prime editing. • Computational Biology & AI/ML: Experience in AI/ML-enabled design of biomolecules (e.g., proteins, RNA) or bioinformatics. • Cell Analysis: Proficient in flow cytometry, FACS, NGS
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Computer Engineering (ECE) is accepting applications for a Postdoctoral Research Associate. The successful candidate will conduct cutting-edge research in quantum error correction and fault-tolerant quantum
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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. The College is the most comprehensive engineering program in North Texas, with 12 baccalaureate, 13 Master’s and nine doctoral programs. The University is classified as a Research 1 University — Highest
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work at the intersection of systems neuroscience, neurophysiology, imaging, and computational analysis to uncover how motor cortical circuits support learning and memory. Be You. You will contribute
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that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published “omics” datasets and machine learning approaches to identify FDA
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., or equivalent degree in biology, genetics, genomics, molecular biology, cell biology, computational biology, bioinformatics, immunology, bioengineering, or a related field. Candidates with experience in genomics