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or other space-system safety standards Experience with simulation, Software-in-the-Loop, or Hardware-in-the-Loop testing Experience integrating AI methods with control, estimation, or autonomy frameworks
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
A postdoc position affiliated with the project Packing Frustration in ABC Starblock Polymers is available. The postdoc will primarily work at Roskilde University with small-angle x-ray scattering
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for pattern recognition and data integration Training in quantitative data analysis, including time-series analysis, multivariate statistics, uncertainty assessment and hypothesis testing Ability to design and
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biology, or a related field Experience designing, executing, analyzing, and interpreting quantitative experiments, including high-throughput screens. Experience with coding software such as Python, R, and
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responses, α-synuclein pathology Immunofluorescence and confocal microscopy, high-content imaging, quantitative image analysis, SDS-PAGE and Western blot Testing of candidate compounds Contribution to single
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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relevant to the PlanetaryBoundaries framework . Complementing this, work package 2 addresses marine biodiversity, ecosystem health, and biosphere functioning by developing and testing indicators of ecosystem
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environments for researchers to test their results on advanced equipment. For further information, you may check: wwwen.uni.lu/snt/research/spacer and www.spacer.lu The candidate should develop the following
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harvest “big data” allowing agnostic and dynamic collection of information, to deliver a new class of research that will enable a better understanding of the clinical, molecular, behavioural and