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Postdoctoral Research Associates. The ideal candidates will possess a doctoral degree (PhD or MD) and have a strong background in molecular biology and physiology. There are three major projects in the lab: 1
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the research through dissemination of results: presentations. Development of extramural funding opportunity proposals. Basic competence in statistical analysis software. Participate in trainings with T32 Post
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to perform experimental protocols and procedures, including detailed data collection and analysis. Minimum Qualifications Doctorate (PhD, MD or MD/PhD) in immunology or area directly related to field
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nanoparticles), in vitro and in vivo characterizations and therapeutic efficacy studies. Minimum Qualifications PhD in Organic/Medicinal Chemistry and Pharmaceutical Sciences, or relevant scientific field
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for growing bioenergy–sorghum focused. The role combines gene network modeling with ecophysiological modeling, integrating a wide variety of phenotypic data to improve bioenergy cultivation practices
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Qualifications PhD in biochemistry, biophysics, molecular biology, immunology, virology, or related fields. Experience with modern molecular biology, biochemistry, and tissue culture techniques. Experience working
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expertise in molecular and cellular biology to advance our research initiatives and enhance computational methodologies. Ideal candidates should have a PhD in Biology, Neuroscience, Computational Biology
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to analyze data using Matlab. Minimum Qualifications PhD in Neuroscience or related field upon hire. Demonstrated research background in the field of neural ensemble measurement. Demonstrated background in
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, written, and graphic formats. Proficiency in using computers to automate tasks. Minimum Qualifications PhD in Biomedical Sciences or a related field of study. Preferred Qualifications • Microscopy
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nuclear systems and neutrino dynamics. Qutrit-based and hybrid quantum-classical approaches for many-body simulations. Tensor network and entanglement-based methods in many-body physics. Knowledge, Skills