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Field
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and implement computational techniques in processing neuroimaging including CT and MRI modalities. Demonstrated ability in big data analytics and machine learning techniques. Expert ability in
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. Experience with data prediction and classification techniques. Computer Skills: Good proficiency with optimization tools (CPLEX, SAP). Experience with data analysis software. Soft Skills: Analytical mindset
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in Computer Science, Geographic Information Science, Data Engineering, or a related technical field. Job
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Osmosis (FO) — Reverse Osmosis (RO) system. The work of this project includes lab work, computer modelling, life cycle assessment, and techno-economic study. The project will contribute to protecting water
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. Requirements Essential Requirements PhD Degree in a relevant scientific field (e.g. genetic epidemiology, molecular epidemiology, statistical genetics, biostatistics, health data science, etc) to be obtained max
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innovative strategies to improve human health. HT is composed of five Centers: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centers work together to enable
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acquire the right part of a specific course in a cost-efficient way. The aim of the project is to design new analytical and simulation models and solution approaches to support strategic and real-time
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expression of fungi in response to selenium exposure - Work with bioinformaticians to analyze fungal transcriptomics and proteomics data 45% COMMUNICATION - Communicate results through peer-reviewed
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) data analysis, or (c) design and implementation of novel field and lab experimental methods. Qualifications Basic qualifications PhD in soil science, ecology, earth and environmental sciences, and
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performs sample preparation and analysis of food materials utilizing advanced analytical techniques, such as GC/MS and LC/MS platforms; generates, evaluates and conducts data interpretation. 20% of job