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STATA and (or) R. Engage in academic activities (proofreading, preparing reports, grants, and present findings. Job Requirements At least a Bachelor’s degree in economics, specializing in Experimental and
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studies, QTL studies, colocalization, Mendelian Randomization) Proficient in R, Python, Linux/Unix Command over commonly used genetics (e.g., PLINK, GCTA, FUMA, variant predictor tools) and metagenomics
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(preferably worked in R&D sector with industrial experience in the project-related field). Ability to work with limited supervision and work collaboratively in a multidisciplinary team. Willingness to work
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that customer needs and expectations are met Work with HR Team Leads r to contribute ideas and feedback in streamlining HR processes on areas of process improvements and standardizations. Others Undertake
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infrastructure security R&D. Job Requirements: A PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline. Proven research track record demonstrated by publications in top
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foster partnerships with government agencies, industry, and research institutions to facilitate collaborative R&D and translational opportunities. Ensure strong institutional alignment by coordinating
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experience in various quantitative research methods is desirable. Experience or training in health economics will be beneficial. Have experience with R programming language, and a willingness to learn more
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the creation of robust early warning and stress classification pipelines in close collaboration with fish farming industry R&D. This role complements ongoing work in AI-based decision-making and is ideal
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and assessment of the state-of-the-art technologies. planning and executing detailed R&D activities to meet project objectives and deadlines, generating novel scientific or technological concepts
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Statistical software (R), - have an interest in the application of quantitative methods to epidemiology and public health questions, - have the desire to pursue further research. It would be desirable