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-seq, spatial transcriptomics and single-cell data. Familiarity with data integration frameworks, predictive modeling, and network analysis. Experience with cloud computing, workflow management
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. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research for the traineeship Main objectives of the Research Fellowship Cognitive cloud computing in space (3CS
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, or cardiometabolic disease Track record of peer-reviewed publications relative to career stage Experience with multi-omic data integration Familiarity with HPC or cloud computing environments Why
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datasets. Experience with cloud-based storage and service tools is helpful Preferred Qualifications: MS or PhD in a relevant field Experience with network neuroscience, graph theory, or connectomics
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Computing , Health Science , Life Science Job Type Postdoctoral Employment - Hours Full time Duration Fixed term Qualification PhD Sector Academia Apply on website (This will open in a new window from
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the Wallenberg AI, Autonomous systems, and Software Program (WASP) whereby you will have the opportunity of collaboration with top researchers within cybersecurity, networking, AI planning, and cloud
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management. Experience working comfortably at scale: large and unwieldy data frames, high-performance computing clusters or cloud compute, and workflows that must run reliably on a fixed weekly
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-scale data processing using high-performance computing (HPC) and cloud-based computational resources, when appropriate. Performs multivariable regression, survival analysis, longitudinal analysis
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experience in computational biology and its common applications (experience in R and/or Python, as well as cloud computing) A strong background in statistics and biology Experience managing and curating large
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Employment - Hours Full time Duration Permanent Qualification PhD Sector Hospital Apply on website (This will open in a new window from which you will be automatically redirected to an external site