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that are contributed by BON in a Box collaborators. This includes understanding the analysis with support from publications, the team and the contributor, testing pipelines with different parameters, fixing R and python
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biology or a closely allied discipline along with experience in creating, writing, enhancing, and running code in R/Python, using and developing microfluidic devices and advanced imaging. You will have
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transformations, geometric corrections, raster-vector conversions, attribute joins, and data cleaning using tools such as QGIS, ArcGIS, or R and Python geospatial libraries (e.g., R's sf and terra packages
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Experience with unstructured grid ocean modeling system. Experience of using programming language Python to deal with large 3D ocean data. Ocean modeling under Linux environment; Python programming; SCHISM
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the capability of the commercial tools; Conduct research into and analysis the energy usage of different scenarios; Write reports and mapping the total energy usage; Thinking of ideas for actionable options
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, wellbeing, and adaptive capacity across different community settings, including migrant and mobile populations. The successful candidate will support research design, data collection and management
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different approaches. • Construct mathematical models that capture meaning problem formulations, and identify why existing methods are insufficient. • Develop solutions in the form of algorithm design
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photonic imaging and patch-clamp electrophysiology. The postdoctoral fellow will contribute in particular to different aspects: - in vivo calcium imaging (ex vivo imaging approaches and patch-clamp
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Gammapy is an open Python library for astrophysical very-high-energy (VHE) gamma-ray data analysis. Amongst
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 hour ago
Laboratory experience following established scientific protocols Coding experience in both Python and Matlab Experience using LaTeX Applicant Instructions: Applicants should be prepared to upload the following