117 fully-funded-phd-program-computer-science-eth Postdoctoral positions at The Ohio State University
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of highly specialized mass spectrometry assays to support immuno-oncology and cancer biology research initiatives, collaborating closely with a multidisciplinary team of computational biologists
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software program (e.g., R, STATA) Demonstrated experience accessing, preparing, and analyzing secondary data Strong interpersonal and communication skills, with the ability to collaborate effectively with
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-for-purpose modeling efforts. MINIMUM QUALIFICATIONS: PharmD or PhD in pharmacology, statistics, engineering, or related field; specific training, experiences, and a demonstrated track record in applying PK/PD
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contributing to grant writing and mentorship of junior colleagues and participation in professional societies. Position requirements: PhD in Physics, Medical Physics, Electrical/Biomedical Engineering or related
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| Health and Rehabilitation Sciences Job Description Post Doctoral Researcher to pursue specialized research training, education and experience under the guidance of a scientific mentor in the School
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spatial biology, single-cell RNAseq Multiplex, etc and animal (mice) models such as humanized mice, PDX models and other models simulating patients. Responsibilities Designs and conducts research on cancer
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research proposals as principal investigator; submits and administers grants; obtains portion of salary and research support derived from grant funding; tracks grant submissions to national and local
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Sciences | Physics Administration The Department of Physics within the College of Arts and Sciences seeks a Post Doctoral Scholar to join our CMS Experimental group working at the CERN Large Hadron Collider
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protein engineering or rational vaccine design. Proficiency with computational tools for structure prediction, modeling, and analysis (e.g., Chimera, PyMOL, Phenix, Rosetta, AlphaFold). Experience mentoring
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experiments in protein engineering, molecular biology, biochemistry, and next-generation sequencing (NGS). The ideal candidate will have experience with computational tools for protein modeling and design—such