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Field
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the development and implementation of in vitro assays for high-throughput screening, with a particular emphasis on CRISPR-based methodologies Preferably, experience in applying artificial intelligence and machine
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behaviour: (multiple) market places, collectives and networks. Simulations: computer experiments, digital twins, hardware in the loop experiments, computational economics/social sciences, network flows, agent
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Cognition is highly multidisciplinary and combines communication and cognitive sciences with artificial intelligence (AI) and (computational) linguistics, human-computer interaction, psychology, and sociology
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English. - Teamwork: Ability to work independently as well as collaboratively in an interdisciplinary team of psychologists, neuroscientists, ethicists, and computer scientists. - Motivation: Strong
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; Experience in the use of Rayyan or other software for systematic reviews, Mendeley for citation management and SPSS for data/statistical analysis/machine learning. Diversity, Equity and Inclusiveness ESA is an
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significantly enhance the efficiency and effectiveness of mission operations. Topic 3: Digital Twins, AI Enhanced Simulation Models and Machine Learning Simulators are complex software systems used to simulate
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methodologies, such as additive manufacturing, for projects within the centre and for space exploration; Developing new ideas around medical technologies, for example, using machine learning techniques to support
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are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship You can choose between the following topics: 1) Topic 1: Machine Learning for recognition of planetary materials