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, and functional genomic approaches to study the biogenesis mechanism of regulatory non-coding RNAs and elucidate their roles in tumor formation, specifically medulloblastoma and melanoma. Several
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; and (c) have strong coding experience. Applicants are invited to contact Prof. Richard T. R. Qiu at telephone number 3400 2636 or via email at richard.qiu@polyu.edu.hk for further information
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research in an international context, representing Cosmoglobe and UiO at meetings and conferences. The main goal of this position is to develop a massively parallel version of a computer code called
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Expertise in metagenomic analysis required scope (e.g. national codes and standards) Strong written and oral communication skills Proficiency in bioinformatics for amplicon and metagenomic sequencing Ability
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on machine learning Experience in time-series data analysis Proficient in coding languages, such as C, C++, Fortran, and Python Strong publication record Entry level candidates are welcome to apply The College
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-MWA-2025-0066 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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to study Long Non-Coding RNAs (lncRNAs) in Pluripotency and Differentiation. LncRNAs are an exciting class of of RNA molecules among which very few have thus far been functionally characterized in depth. We
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Qualifications: Doctoral degree with quantitative training (ideally in econometrics) or relevant research experience. Strong coding skills in R, Stata, or other statistical software package. Good communication
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-intensive field Proficiency in Python (or R), version control, and clean code practices Experience with omics data analysis and integration Hands-on expertise in developing and fitting executable models
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with real-world application to pressing health challenges. In this role, you will: Develop new statistical methodology to support adaptive variants of cluster randomised trials Write R or Stata code