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Field
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Qualifications: Exceptional programming and analytical skills (including R, Python, and SAS or Stata Demonstrated expertise in analysis of claims data Clear scientific writing and communication, an ability to work
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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, Environmental Science or equivalent Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Programming skills in Python, R, or similar Fluent oral and
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different scenarios, including emergency power supply, energy trading, grid balancing, islanded operations, and disaster recovery. In the initial phase, the supervisors, the candidate (based
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enable better planning and utilization of mobile energy storage across different scenarios, including emergency power supply, energy trading, grid balancing, islanded operations, and disaster recovery. In
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and develop AI and statistical methods for complex omics data, including multi-modality (e.g. DNA, RNA, protein, PTM, metabolites) in different resolutions (e.g. subject, tissue, single cell) with
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between different neuronal cell types are organized and how this organization enables the computations they perform. To do this, we combine approaches from systems and molecular neuroscience and develop new
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and sensor data analysis Experience in remote sensing with satellites Experience in analytics in biogeochemistry, microbial ecology, and field work in aquatic environment Experience in Python, GIS
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biogeochemistry, microbial ecology, and field work in aquatic environment Experience in Python, GIS, or equivalent tools for environmental data-analysis Familiarity with computational flow dynamics modelling
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prompts Develop predictive models for sepsis, deterioration and ICU outcomes Create reproducible analysis frameworks using R/Python, GitHub, Quarto or R Markdown Produce real-time dashboards for ICU