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Field
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involves the analysis of experimental data, and the maintenance of accurate laboratory records in accordance with FAIR and Open Science principles. The researcher will work closely with multidisciplinary
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interest in community ecology, biodiversity and ecosystem functioning. Experience with ecological experiments and/or quantitative data analysis Strong data analysis skills (preferably in R). Excellent
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and benefits. Hands-on training in scalable software/firmware analysis and reverse engineering skills, and data analysis. A unique opportunity to work in one of the most active research groups in
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. The project will use quantitative mitochondrial-tracing approaches, including a recently established HiBiT-based platform, live-cell imaging, CRISPR-engineered cancer models and tumour–stromal co-culture
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Madrid is seeking for a PhD candidate to work in the field of homogenous catalysis. The PhD student will focus on the development of novel asymmetric transition metal catalyzed transformations using
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, through the analysis of its interactions with phyB and COP1, the functional characterization of ELF3 allelic variants, and the study of the molecular mechanisms involved in the temperature response. Define
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and carry out experiments to investigate pharmacological mechanisms, using various techniques and laboratory equipment within the framework of the strategic lines detailed above. Data analysis
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, documenting setbacks as well as results. Engage actively in the full scientific process, from careful experimental work and data analysis to the communication of results through publications, conferences, and
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human brain organoids, biosensors, biomarker detection technologies, microfluidic systems and computational data analysis. The candidate will contribute to experimental design, data analysis, scientific
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integrated electrodes. Cell co-culture. Biomolecular characterization. Permeability assays. Epifluorescence and confocal microscopy analysis and image processing. Data acquisition and processing. Sensors and