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Requirements Experience with laboratory work, environmental monitoring and/or data analysis will be considered an advantage. Programming and data-analysis skills (e.g., Wavemtrics, R, Python or similar
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: Synthesis and functionalization of nanoparticles. Modification and loading of extracellular vesicles. Analysis of data related to the cellular uptake of nanoparticles and extracellular vesicles. Where
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) Item 03: Proven experience in both programming (Python, R, etc.) and the use of data analysis tools, as well as artificial intelligence / machine learning techniques (punctuation: 22.5) Item 04
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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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. 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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processes. • Apply machine learning techniques and advanced statistical analysis to extract knowledge from complex datasets. • Participate in the evaluation and optimisation of high-performance scientific
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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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applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (http://biennialreport2018-2019
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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