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Field
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interpreting DESI data. Developing new tools and techniques for data processing and analysis. Exploring the large-scale distribution of galaxies and its implications for cosmology. This position is ideal for a
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with machine learning, computer vision and/or statistical analysis Experience in field work Proficiency in English Catalan and Spanish are valued. LanguagesENGLISHLevelBasic Research FieldAgricultural
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Predoctoral researcher at the Targeted Therapeutics & Nanodevices Research Group (Project BRAINZYME)
well as therapeutic and unwanted side effects of these biotherapeutics in vivo using animal models. • Implement quantitative/qualitative methods and analysis to obtain strong conclusions. • Keep actualized records
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the analysis of gene expression and neuronal activity across different models, with the ultimate goal of contributing to the development of treatments that could modify the neurodegenerative progression
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on biomedical signal processing and data analysis. Master thesis in biomedical engineering or signal processing and interpretation will be a plus. Candidates should be ready to enter an official doctoral
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instrumentation (CTD, side-scan sonar). Handling of vessels for biological and physicochemical sampling at sea. Specialised taxonomic analysis: identification of zooplankton organisms using a stereo microscope
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. The researcher cannot already be in possession of a doctoral degree. Desirable skills: Previous experience in participating in research projects (e.g., data collection, analysis). Experience with EEG data
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). ----------------- Although it is not essential, experience or knowledge in some of the following areas will be positively valued: programming languages (Python, JavaScript), data analysis software techniques and tools
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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain
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biology and bioinformatics, as well as in Machine Learning (including Large Language Models). Good understanding of evolutionary and molecular biology concepts, and good statistical (data analysis) and