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Field
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organoids, single cell multiomics, live cell imaging, and animal models. Tasks: to actively pursue the PhD project with the aim of characterizing the molecular and functional mechanisms of epithelial
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after damage. The applied techniques will include e.g. mouse and human kidney organoids, single cell analyses, proteomics, metabolomics, live cell imaging, and animal models. Tasks: to actively pursue
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epithelial cells and neurons in the intestine. The applied techniques will include molecular and cellular biology methods (e.g. neuroepithelial co-cultures, organoid cultures), advanced imaging (e.g
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computational research. In particular: • A high-quality imaging platform • A dedicated biocomputing hub that guarantees reliable data storage, management, and advanced analytical capacity. Our laboratory is
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-depth investigation of a class of vulnerabilities and devise static and/or dynamic approaches to detect them in the code or prevent their execution at runtime. Funding category: Autre financement privé
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comments https://www.cicbiomagune.es/job-offer-detail?id=42930 Work Location(s) Number of offers available1Company/InstituteCIC biomaGUNECountrySpainCityDonostia - San SebastiánPostal CodeE-20014StreetPaseo
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to research this topic. Interest in laboratory work and basic technical understanding. Fluent written and spoken English. Programming skills in e.g. Python, R, Matlab and Java. Experience in image processing
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with molecular biology, scRNAseq/ATACseq, in vivo 2-photon live imaging, and mouse behavior Experience with coding is an asset (e.g., R, Python, MATLAB). Ability to work independently and as part of a
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learning, image analysis, and advanced computing to study relationships between structure and function. Keywords: Human Brain, 3D Atlas, Deep Learning, Temporal Lobe, Brain Function Entry Requirements
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. Partnering with Toyota and Demcon TSST, SMIP will showcase this innovation through a self-learning chip prototype, improving performance and durability in automotive applications. Specifically, this PhD