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Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale
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CAD tools (e.g., Keysight ADS, NI/Cadence AWR Microwave Office, or equivalent) is valued as its familiarity with programming and numerical analysis tools (e.g., MATLAB) for data processing and
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. This knowledge is required to better understand the processes involving copper signaling in health and disease. Biological compartments, relevant to copper signaling, including synapses, have very high surface
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scientific programming. Together, these approaches will provide a comprehensive framework for investigating the physical principles governing chromatin organization and dynamics. Where to apply Website https
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the project website: https://faircfd.eu The recruitment process will adhere to the principles of equal opportunities, transparency and non-discrimination, in line with the European Charter for Researchers, and
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Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute • | Jena, Th ringen | Germany | about 2 months ago
for doctoral candidates and postdocs: https://www.uni-jena.de/en/phd . Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute Location Activate map To activate
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recyclable, non-persistent thermoset resins based on their inherent reactivity. Applications include bio-based composites with natural fibers for durable goods. Designed to be recyclable and minimize
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into mutually interfering coherent wavefronts, enabling the recording of color holograms using natural light sources such as sunlight and indoor lighting. This technology would allow for plenoptic 3D
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constraint on plant growth and carbon sequestration in boreal forest soils. Although proteins constitute a large fraction of the soil nitrogen pool, the processes governing their breakdown into amino acids
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interventions in proteinopathies”, funded by ERDF funds (COMPETE 2030) and by national funds through FCT/MECI, operation no. 15697, with reference COMPETE2030-FEDER-0067960, in the scientific areas