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encouraged to mentor junior trainees in the lab. Essential Functions Conduct research experiments within the defined scope of the lab?s scientific focus. Analyze experimental and omics data, develop and test
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work in the Atlantis modeling environment. Job Duties Include: Apply Ecospace modeling software to develop a new model and simulate a wide range of spatially explicit management strategies intended
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 22 days ago
+RL) would be beneficial. Based on ocean sensor networks’ inputs, the developed DSSs will support the monitoring, prediction, environmental impacts and technical engineering management of ocean industry
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 22 days ago
, and systems engineering. The advancement and application of techniques such as Systems-Theoretic Process Analysis (STPA), structured expert elicitation, and Bayesian Networks (BNs) are foreseen, and
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, transferring and transforming data, and statistical data analysis. Experience in using one or more statistical software packages (e.g. R or similar). Experience working with routinely collected cardiovascular
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and software development and simulation testing. Applicants for the Research Assistant should have an honours degree or an equivalent qualification with hands-on experience in conducting experiments
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University of Brighton | The City of Brighton and Hove, England | United Kingdom | about 10 hours ago
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, policy, energy conversion, new business models, techno-economic and life cycle analyses, machine learning, optimization, AI, intelligent networks, among others. The PDF will join a project in collaboration
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works to interpret genomes and distill the immensely complex networks that form the foundation of human biology and disease, through accurate machine learning models. Current areas of interest include