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about public health in local radio broadcasts, as well as the impact of organisations providing reliable and independent information to counteract misinformation in Africa. A project on the spatial and
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January 15th, 2026 until filled Recent advances in high-throughput technologies for single-cell analysis, including single-cell transcriptomics, spatial transcriptomics, epigenomics, and their combination
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transcriptomics, spatial transcriptomics, epigenomics, and their combination into multi-omic platforms, have transformed the life sciences landscape. At ISTA, we implement these diverse technologies across
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. preferred. •Proficiency in R required; additional experience with Python, GIS, or statistical/analytical platforms desirable. •Demonstrated experience working with environmental, health, or demographic data
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spatial data visualization tools. Building AI solutions, including chatbots, RAG, and other LLM-based tools. Interest in and experience developing software to support data-driven research. Application
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acquired while helping ensure the graduate students or postdoc papers have the highest quality data and analysis. Participate in the teams to develop new code and statistical methods to analyze in situ
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Østergaard. The goal is to develop novel information-theoretic methods for identifying and analyzing temporal and spatial patterns of synergy and redundancy in brain signals elicited by acoustic stimuli
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on developing ecosystem models for high-latitude ecosystems and to scale-up these spatially as well as temporally using state-of-the-art ecosystem models. Your profile The successful applicant must have obtained
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and biosensors to probe the biochemical and biophysical underpinnings of development cellular processes with high spatial and temporal resolution. We are seeking candidates with interests in
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responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running