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RNA-seq datasets and generate user-friendly applications for data exploration; to perform data analysis derived from diverse scientific topics in collaboration with PhD students and postdocs; to train
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for functional group. Work on complex algorithms and coding to integrate all SDTM specifications and database specifications. Build governance database to create a repository of all governance requests
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revisit discretization methodologies in view of modern requirements and computational capabilities. The candidate will focus on developing mesh generation algorithms meeting the following criteria
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, and distributing research-enabling resources Establishing and maintaining relationships and alliances with investigators, companies, and other stakeholders around the world Position Overview New, full
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active research interests in quantum computing, quantum algorithm/software development and applications in decarbonisation who can take full advantage of the unique opportunities the QDA provides
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, and flexible to provide support/expertise where needed. Job Responsibilities: Analyze biomedical data with minimal supervision by performing advanced analysis, algorithm implementation, programming, and
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computational models, algorithms, or theory to probe the mechanisms of learning and memory. Ideal candidates will work across levels—from molecules and synapses to circuits and systems—and contribute
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academic staff, 60 postdocs, 40 PhD students, and 60 technical staff. The Department hosts BSc and MSc study programs in Biology with about 400 students enrolled, as well as a PhD program. The Department
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that cover all major biological sub-disciplines. The Department currently employs approximately 40 tenured academic staff, 60 postdocs, 40 PhD students, and 60 technical staff. The Department hosts BSc and MSc
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development of resource algorithms for forecasting, and cross functional collaboration to provide a single source of truth for clinical trial resource demand and supply planning. What You’ll Do Resourcing