10 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral research jobs at University of Arkansas
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, Biochemistry, or a related scientific field. At least 1–2 years of laboratory research experience in molecular biology, microbiology (bacterial or viral), cancer research (oncogenesis, drug resistance, drug
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-motivated Post-Doctoral Fellow with demonstrated ability for independent experimental design and research. Projects include the dissection of the molecular underpinnings of tumor cell-microenvironment
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of Job Duties: We are seeking a highly self-motivated Post-Doctoral Fellow with demonstrated ability for independent experimental design and research. Projects include the dissection of the molecular
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of complex cell sorting protocols, integrating advanced technologies such as flow cytometry and microfluidics to enhance precision and throughput. The Fellow will design and conduct experiments in molecular
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computational modeling. · Strong analytical skills, with experience in HPLC, GC-MS, LC-MS, FTIR, and NMR. · Excellent writing ability, with some experience in statistical analysis, process modeling, manuscript
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: Doctoral degree (PhD, MD/PhD, or MD) in medicine, biomedical sciences, pharmacology, physiology, molecular biology or related field. Additional Information: Responsibilities: Research Record Keeping
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the university. The research will focus on projects studying sepsis, inflammation, and organ injury in large animal models. Following demonstration of competence, the fellow will have autonomy in
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characterization techniques such as Dynamic light scattering, Atomic Emission spectroscopy, scanning electron microscopy, transmission electron microscopy, Raman spectroscopy, Ultra violet-visible spectroscopy, X
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other research activities. The project will include working with a team that includes youth researchers, faculty, and students from data science (to train AI-models to classify social media data
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ecology and management research, expertise in long-term ecological data analytics and modeling, and proficiency in statistical analysis are encouraged to apply. Preference will be given to candidates with