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. Applicants are invited to propose a research project around the development of AI models for predicting promising catalyst candidates to integrate molecular modelling techniques, experimental data bases and
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supervised by Professor Dr Massimo Menichinelli to further develop knowledge, strategies and contents for integrating Design with Artificial Intelligence. Ideally the candidate already has experience on both
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functional analyses of candidate genes and enzymes using genome editing and transformation systems in model and non-model species (e.g., Portulaca and Arabidopsis thaliana). Integrate molecular biology with
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Resilience Mechanism of the Spanish Government. IFAE is an equal opportunity employer committed to diversity in the workplace and social integration of people with a disability. We welcome applications from
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learning) applied to operational infrared images. Design and test a drone payload for the detection and geolocation of fires in night conditions. Collaborate with modeling teams to integrate observational
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learning every day. The selected candidate is expected to join the IFAE as soon as possible. IFAE is an equal opportunity employer committed to diversity in the workplace and social integration of people
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to extend in vitro findings to heterologous cells and C. elegans neurons. An optional asset is the integrate the optical measurements with microfluidics-based buffer handling and automation of the optical
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chemical contaminants. -Surface engineering: Application and optimization of different deposition approaches (e.g., dip-coating, spraying) to integrate the developed coatings onto commercial filtration
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machine learning models that predict soil health and crop performance. The position will exploit datasets integrating biochemical and molecular soil parameters (with a focus on microbiome features from
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socioeconomic and environmental data. • Development and application of indicators to measure social and environmental justice in 15-minute city scenarios. • Integration of spatial data (GIS) and sources