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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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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
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Job Id: 11993 Project End 31.12.2028 | Full-Time (100%) | Salary Grade TV-L E13 | Centre of Reproductive Medicine and Andrology | Institute of Reproductive Genetics We are UKM. We have a clear
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pilots. The role combines experimental device R&D, modelling-supported design decisions, and rigorous measurement work. You will work closely with both academic and industrial supervisors in a small