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of strains) to in-field testing of up to 800 strains. The scale and standardized approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modelling
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interaction assays (e.g. BLI, SPR, or similar) Zona pellucida or sperm binding assays CASA or other sperm functional analysis tools Applying recombinant or designed proteins in complex biological environments
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, statistical analysis and publication of trial and cohort data. The post also includes teaching, supervision, and performance of other duties. Profile We are looking for a highly motivated and enthusiastic
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simultaneously. By doing so, the project uncovers key pathways and mechanisms in prostate cancer progression. This will be achieved by analyzing samples using spatial transcriptional and proteomic analysis in
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-growth bioreactors. Implement, develop and improve wet lab protocols and analytical protocols for analysis of a variety of microbial processes using e.g. flow cytometry, flow cells and confocal microscopy
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to specifically the area of measurements, analysis, and documentation of the GHGs (CO2 and CH4) from peatland established with sphagnum moss under controlled hydrology. After some years the upper part of the living
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Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
significant challenges for experimental analysis, separation and immobilization studies, and the determination of physical‑chemical properties. Across these three projects, the overarching aim is to advance our
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methods, including UAV-based landscape mapping, terrestrial and freshwater eDNA, passive acoustic and camera monitoring, and novel sensor and logger networks for real-time analysis of greenhouse gas
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methods, including UAV-based landscape mapping, terrestrial and freshwater eDNA, passive acoustic and camera monitoring, and novel sensor and logger networks for real-time analysis of greenhouse gas
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collaborative project at the interface of directed experimental evolution, microbial ecology, and bioelectrochemical engineering. The project combines laboratory evolution approaches with omics-based analysis