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from you? Applicants must have a university degree (master/diploma) and a PhD in coastal or marine environmental sciences or a related discipline. Evidence of very good English language skills is
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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a cluster hire across two research areas: (1) Environmental Social Science, Education and Communication/Meaning-Making and (2) Environmental Data Science and Spatial Computing. This job listing is for
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at the Dynamical Systems Section is very wide ranging. From foundational research in work on statistical forecasting, modeling of spatial and temporal processes and time series analysis to applied research in wind
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, minimal residual disease (MRD) detection, and the multi-omic characterization of various cancer types. Required Qualifications: PhD in related fields such as computational biology, cancer biology, and
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research. Interests and/or background in Arctic research, hydrological modeling, surface water fieldwork, community engagement, and/or spatial statistics are also a plus. PROJECTED START DATE There is
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understanding of statistics. The ability to analyse DNA-sequencing data is required (exomes, genomes, duplex sequencing); experience analysing RNA-sequencing data (bulk, single cell, spatial), or other -omics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
for high-resolution (e.g. gigapixel) imaging, or high-dimensional statistical approaches for analyzing spatial transcriptomic data. This role involves close collaboration with an interdisciplinary team
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-time Postdoctoral Associate to join the laboratory of Dr. Rivka Stone MD PhD at the Wound Healing and Regeneration Research Program. The Stone Laboratory is engaged in two major funded areas of wound