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Jobs Online. Application deadline: November 2, 2026. Additional Stanford postdoctoral opportunities in physical sciences: Stanford Science Fellows (SSF): https://stanfordsciencefellows.stanford.edu
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research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a
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( www.denkglobaldx.org ), our department hosts a diverse and interdisciplinary team working across diagnostic innovation, clinical and implementation research, mathematical modelling, data science, and
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science. Your main activities will include: planning and conducting field experiments; collecting data on crop growth, botanical composition, yield, forage quality and related plant and environmental
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Nature: Use sound/network data as insight for green transitions Your qualifications The candidate must have: Graduated at Master’s level in ecology, biology, applied mathematics, computational science
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individual visionary figures or to synergetic team efforts.
Through a systematic analysis of at least 50 key examples from the history of science – ranging from antibiotics to DNA structure
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, measurements of stand development and tree growth, spatial data and GIS, and statistical analysis in R. About the position The doctoral student will plan and carry out field experiments and inventories, manage
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statistical data analysis. About the position The doctoral student will plan and carry out field and laboratory studies, analyse and interpret data, and communicate results through scientific articles
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collaborators from across the Nordic countries and North America. The project will use samples and data collected from Arctic/alpine lakes in Sweden and other circumpolar regions. Implementation
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Natural Science. Project description The PhD project focuses on the molecular mechanisms by which small-molecule permeation enhancers increase the absorption of peptide-based therapeutics across the