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Field
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Hands-on lab experience and/or interest Knowledge on Machine Learning, or other AI techniques Personal Skills: Team Worker Initiative in Research and Innovation Flexibility Results-oriented Analytical and
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identification Experience in collaborative and international projects Experience/knowledge in HIL systems Hands-on lab experience and/or interest Knowledge on Machine Learning, or other AI techniques Personal
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to support machine learning model development to accelerate materials discovery: Perform high-throughput DFT and molecular dynamics simulations to investigate the thermodynamic, structural, and electronic
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the interplay between mutations, energetics, and evolutionary constraints, including epistatic effects. · Developing or applying machine learning approaches to predict or redesign frustration patterns in proteins
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algorithm. Basic principles of mathematical optimization. Fundamentals of machine learning and deep learning. It will be assessed: Have completed or are currently completing a degree in Data Science and
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Recruitment Objective Lead and support the CAMPS project for advanced spatial data production and analysis, with a focus on satellite imagery remote sensing, machine learning-based urban and architectural
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. Pablo Carbonell, creates innovative solutions for automated biofoundries, fostering sustainable industrial biotechnology across the bioeconomy sectors. The lab combines synthetic biology, machine learning
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, as well as in scientific computer tools for data and image analysis (ImageJ, Image Lab and GraphPad). Participation in scientific dissemination activities (conferences, seminars, Research Night, Area
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health and risk of disease” and “Artificial vision and machine learning techniques for analysing temporal shape changes”. 1.2. Units in charge of the lines of research (in the order in which the respective
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. The researcher will develop novel research that applies advanced data science, machine learning and deep learning to various different data modalities. An ambition of this team is to implement predictive modelling