222 coding-"Prof"-"UCL"-"Embry-Riddle-Aeronautical-University"-"Prof.-Dr" Fellowship positions in United States
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density functional theory calculations in solids (i.e. use of codes such as Quantum Espresso and/or VASP), to work on correlated electron quantum materials. This will include performing calculations and
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October 15 and the post will remain open until filled. Ideal start date is spring 2026. Contact Information Prof. Fiamma Straneo HUCE 433H 26 Oxford St Cambridge MA 02138 Contact Email sazinheira
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to study the biogenesis mechanisms of regulatory non-coding RNAs and their roles in tumor formation, specifically medulloblastoma and melanoma. Several putative oncogenic and tumor suppressor non-coding and
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directed to: Prof. Xingchen Ye, Department of Chemistry, Indiana University, 800 E. Kirkwood Avenue, Bloomington, IN 47405, xingye@iu.edu. Additional Qualifications Ph.D. in chemistry, materials science, or
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. Department Contact for Questions Questions regarding the position or application process can be directed to: Prof. Samantha Harvey, Department of Chemistry, Indiana University, 800 E. Kirkwood Avenue
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) Finance (6) Molec Microbio & Immunology (6) Pediatrics-Neurology (6) Professional Coding & Revenue (6) Residential Life (6) Admin Affairs Campus Fac Mgmt (5) Computer Science (5) Grad Health Professions in
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scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial molecular and phenotype data. Including code
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to collaborate with Prof. Robert Riener at ETH Zürich, a leader in Rehabilitation Robotics. Projects span human subjects research, computational modeling, and robotic technologies. This position is ideal
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scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial molecular and phenotype data. Including code
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record of or exceptional promise for research. The fellow will work with Prof. Sam Petti on developing methods for modeling, optimizing, and interpreting biological fitness landscapes. Successful