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on AI-supported decision-making that contribute to the empowerment and democratic participation of citizens. The project addresses real-world challenges across domains such as healthcare, mobility
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engineering systems in order to develop advanced control, estimation, planning, learning and diagnostics strategies which are at the core of the intelligent autonomous systems of the future: Designing and
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experimental and theoretical (CFD) research. You will establish and lead a research team, working closely with your colleagues. You will actively acquire and carry out research projects with academic and
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to learn new laboratory techniques. You are well-organised and have a structured way of working. You are familiar with standard laboratory and molecular biology techniques (e.g. PCR, western blot, cell
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chip quality and reliability while optimizing overall test costs. The platform enables faster and more accurate diagnosis and yield learning, reduces in-field failures in various critical applications
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). Experience applying statistics and Machine/Deep Learning to real-world data. Experience working with manufacturing process data, robotics systems and/or metrology data (sensor data, quality data, measurement
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genetics projects. Your first project will involve investigating the molecular mechanisms underlying the cell type specificity of Charcot-Marie-Tooth (CMT) disease caused by mutations in tRNA synthetases
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, including outside your home country, as would experience in diverse functional areas relevant to ESA activities. Mobility is inherent to management functions and this position may be subject to rotation
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Erasmus School of History, Culture and Communication (ESHCC). This position is for 1 fte. The salary (living and mobility allowance) ranges from a minimum of € 3.059 to a maximum of € 3.881 gross per month
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, developing your people by encouraging learning, delegating responsibility and giving regular and constructive feedback; Strong problem-solving skills to deal with day-to-day operational challenges, together