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of the University of Cincinnati. Required Education MD, PhD, or MD/PhD in neuroscience or a related field (Bioinformatics, genetics, etc.) Additional Qualifications Considered Experience with rodent models and
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design, analytical plans, and grant development Qualifications PhD, ScD, or equivalent doctoral degree in epidemiology, biostatistics, bioinformatics, microbiology, or a related field Strong quantitative
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platform, including new modules for DIA mass spectrometry data analysis. The successful candidate will also participate in collaborative studies. The ideal candidate will hold a Ph.D. in bioinformatics or a
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● PhD (or Master’s with strong relevant experience) in Bioinformatics or a related discipline (Neurobiology, Computer Science, Statistics, Epidemiology, Systems Biology, Computational Biology
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Disease Modelling, or a closely related field Research Fellow: • PhD in Epidemiology, Biostatistics/Statistics, Computational Biology/Bioinformatics, Infectious Disease Modelling, or a closely related field
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Science). A PhD (or near completion) in Bioinformatics, Plant Genomics or other related field appropriate to the goals of this project. Informal enquiries can be made to Andy Plackett, email: A.R.G.Plackett
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. Basic Qualifications An ideal candidate will have a PhD in computational biology/bioinformatics/statistics/CS or another quantitative field, as well as superb programming (Python, shell scripting) and
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us in our mission to improve health equity and well-being for all throughout the state of Indiana. Basic Qualifications PhD in bioinformatics, molecular biology, nephrology, urology, or a related field
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also participate in collaborative studies. The ideal candidate will hold a Ph.D. in bioinformatics or a related field, have a strong record of research productivity (e.g., publications and software) in
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Ulla Schildt/NHM 19th April 2026 Languages English English English Natural History Museum PhD Research Fellow in Systematic Botany Apply for this job See advertisement About the position A 4-year