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Field
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into impactful applications in global health. We welcome applicants with training in statistics, applied mathematics, computer science, or epidemiology, especially those with strong quantitative and coding skills
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epigenetic basis of GI cancers (e.g., aberrant DNA methylation, histone modifications, and non-coding RNAs). Understanding the biological implications of gut microbiome and its translational application is
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the world’s fastest supercomputers. Two of our project partners, the University of Tennessee and Valencia Polytechnic University, will support you in integrating these codes into three widely used HPC libraries
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funding Knowledge on a coding language (Phyton, etc) The successful candidate may be required to complete a number of pre-employment checks, including: right to work in Australia, conduct concerning gender
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and in writing with a wide variety of individuals including non-technical system users, clinicians and therapists. 5. Knowledge and ability to interpret and apply relevant codes, regulations, guidelines
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, developing upscaling techniques to build continuum models for biofilm mechanics, running code to simulate biofilms using continuum methods, and interfacing with other team members and experimental
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to additional questions please review the frequently asked questions . The university is an equal opportunity employer, including veterans and disability. As required by Ohio Revised Code section 3345.0216, Ohio
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frameworks. Expertise in modeling geophysical systems. Strong proficiency in machine learning libraries such as PyTorch. Proficiency in writing clean, efficient, and well-documented code. Knowledge
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in mathematical modelling methods used to analyse infectious diseases • Strong programming skills, ideally with experience in R/R packages and GitHub as a collaborative coding environment • An ability
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial