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English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade
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eDNA sampling as appropriate Analysis support (e.g. data recording, organizing, quality control). Undertake and assist in statistical analyses and producing result figures, maps and result summaries
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the impact of polyamines on macrophage phagocytosis and efferocytosis activity; 3) in vivo experiments testing therapeutic efficacy of polyamines; and 4) transcriptomic analyses (scRNA-seq and spatial) across
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power. The work involves quantifying conflicts and synergies between different sustainability goals in the forest landscape using simulation and optimisation. The analysis will be based on spatially
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in a PhD. Requirement for granting the fellowship: The applicants may apply without prior registration in the course for which the fellowship is open. The requirement to enroll in a degree course will
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will hold a PhD in computational biology, computer science, artificial intelligence, machine learning, statistics, mathematics, bioinformatics or a related discipline. You will have: Significant and
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Employees Department's Website: https://engineering.uark.edu/ Summary of Job Duties: As a member of a multi-disciplinary team, the Post Doctoral Fellow of Biological and Agricultural Engineering will conduct
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cookie and refresh page to watch video, or click here to open video) About the position This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/ ), a Norwegian national research
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Science, Environmental Science, Architecture, Landscape Architecture, Public Policy • Experience with geospatial analysis tools (e.g., ArcGIS, QGIS) and spatial statistics is advantageous • Proven skills in
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-seq, RNA-seq, ATAC-seq and spatial transcriptome data. We are also interested in developing modern statistical approach for integration of multi-omics datasets and causal inference to understanding