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that can be used by engineers. Your responsibilities: Maintain data and code repositories Develop real-time visualisation on the website Develop various programming tools for scientific codes and data
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led by expert scientists and equipped with cutting-edge equipment. Customized Professional and Career Growth: Experience specifically designed programs to enhance professional growth and career
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programming languages (e.g., R, Python). Successful applicants should be self-motivated, well-organized, and able to work independently and collaboratively. Excellent written and oral communication skills
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with experience in One Health or climate-health research. Proficiency in systematic reviews, survey methods, and/or causal inference is essential, along with programming skills (e.g., in R or Python
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multidisciplinary research in broad program themes of Engineering Sciences for Computing and Data Science, Intelligent Systems and Materials, Advanced Electronics and Electrical Engineering, Sustainable and Smart
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(secular variation, reversals, excursions) Programming skills, preferably in Fortran and Python Experience in international collaboration Fluent in English (written and spoken) Demonstrated ability
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scarps to varying rates of reworking, potentially revealing their activity over different timescales. To make up for the lack of nearshore high-resolution maps, we plan to develop and deploy an Uncrewed
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drug and genetic screens (e.g., DepMap, PRISM) Common bioinformatics resources and pipelines (e.g., NCBI, Ensembl, BWA, STAR, GATK, VarScan, DESeq) Proficiency in Linux and programming languages such as
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composites. S/he will be expected to take on the day-to-day running of the part of the research program under the direction of Professor Nicolosi. The core tasks are as follows: 1. Fabrication and
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lab focuses on the characterization of plant signaling networks that steer plant specialized metabolism within tightly regulated fitness programs, in particular those modulated by stress hormones