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and show strong quantitative skills, proficiency in coding (e.g. Python or MATLAB), and experience handling large datasets. Knowledge in at least one of the following is essential: ocean interior
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HiPerBreedSim project. In this role, you will leverage recent advances in working with ancestral recombination graphs (ARGs) to develop algorithms and code for simulating population genomic data, including
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, prognosis, and predictive responses to chemotherapies and targeted drugs. 2. Study the genetic and epigenetic basis of GI cancers (e.g., aberrant DNA methylation, histone modifications, and non-coding RNAs
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. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing
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Prof. Fredros Okumu (University of Glasgow/Ifakara Health Institute) to develop and test new methods for trial design and analysis. Developing statistical models and code to run the proposed methods
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Cascais City Carcavelos Website http://www.novasbe.unl.pt Street Rua da Holanda 1 Postal Code 2775-405 E-Mail research.office@novasbe.pt STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More
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code are transparent, well-documented, reproducible, and openly shared with the scientific community. The role also offers opportunities to contribute to teaching and training activities across
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stimulating working environment Salary as a PhD research fellow (code 1017) in the state salary scale. This constitutes a gross annual salary of NOK 568 700. Further salary increases are made according
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Organization U.S. Department of Agriculture (USDA) Reference Code USDA-ARS-MWA-2025-0068 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A complete
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stakeholders (beyond academia). Experience in membrane handling, CAD and temperature/humidity control is desirable while the ability to code in Python or other related programming languages will constitute a