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ecology, or experimental studies. • Proficiency in one or more relevant programming or scripting languages (e.g., Bash, R, Python) for data processing, statistical analysis, and bioinformatics workflows
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. Experience with cancer organoid models and/or bioinformatics is an advantage. We offer broad training possibilities in the required experimental methods within a stimulating academic environment in Centre
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, salinity and other. The measured data are prone to measurement uncertainty and may also include anomalies like spikes, systematic mis-measurement effects and loss of data. This has been in focus in parallel
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of this position is to develop a massively parallel version of a computer code called Commander, and apply this to archival data from Planck HFI, new data from Simons Observatory, and simulated data from LiteBIRD, a
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, the candidate is expected to contribute to the development of novel workflows for joint inversion of multiple data types (e.g., borehole acoustic or seismic data) in the context of geosteering. The specific tasks
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PhD project. In addition to electromagnetic geophysics, the candidate is expected to contribute to the development of novel workflows for joint inversion of multiple data types (e.g., borehole acoustic
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application process here . ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position Are you ready to take your research career
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include mammalian tissue culture, immunoprecipitation and confocal microscopy. Experience with cancer organoid models and/or bioinformatics is an advantage. We offer broad training possibilities in
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pregnancy. Process the information from the Mother and Child Cohort Study (MoBa) questionnaires. Provide clinical expertise on gestational disease when interpreting genetic analyses. Manage the processing
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project/work tasks: Provide expertise on symptoms in early pregnancy. Process the information from the Mother and Child Cohort Study (MoBa) questionnaires. Provide clinical expertise on gestational disease