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ways to analyse and interpret large-scale data. In your position, you will develop computational methods for cryo-EM reconstruction, heterogeneity analysis, and modeling of structural variability
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Advisory, Conciliation and Arbitration Service (Acas); | Bristol, England | United Kingdom | 2 days ago
on the design, collection and analysis of data using internal data collection and management of externally commissioned evaluation if required. Evaluation support – responding to ad hoc evaluation questions
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) utilizing integrative data analysis to harmonize phenotypic data across a number of large, genetically-informed longitudinal study samples with the goal of characterizing the longitudinal interplay between
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deal with high data rates (GB/s) and “big data” volumes. To strengthen the support we can offer to the beamlines and their users, we are looking for a Beamline Data Scientist to improve the data analysis
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landscape constrains or enables discovery. The project draws on tools from topological data analysis (e.g., persistent homology, Euler characteristic curves, discrete curvature), machine learning (e.g
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analysis, microscopy; c) developmental biology, physiology Excellent English communication skills LanguagesENGLISHLevelExcellent Additional Information Benefits A 4-year PhD position in a PhD program at the
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required under NYC Human Rights Law Int 1208-2018 - Salary range for this role when Hired for NYC Offices Position Summary Under direction, provides research, data analysis and operational support to
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, obchode a službách. More information about PhD position: https://fem.uniag.sk/en/doctoral-study-information https://fem.uniag.sk/sk/doktorandske-studium Additional research info: renata.prokeinova@uniag.sk
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developing physics-based analysis software - Measuring thermal property data for internal and external collaborators and stakeholders - Depositing and characterizing thin films in the NIST NanoFab - Presenting
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leading role at the international level, for example in the field of plant and microbial data management, in the evaluation of new methods of genome analysis, in the integration, interpretation, and