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the field of software architecture with a specific focus on: Performance and Reliability Engineering in Deployment Architectures, Software Engineering Methods for Performance Engineering, Software Engineering
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organisational skills, and high reliability. Experience in (co-)supervising student theses is also an advantage. What we offer: A lively, active, and internationally oriented STS environment; Mentorship and a
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microscopy, and associated techniques). You will be responsible for conducting data analysis and ensuring the validity and reliability of data at all times as well as maintaining highly organised and accurate
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will benchmark the performance, reliability and safety of your design and have the opportunity to demonstrate its performance by studying key catalytic reactions important to the energy transition
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cells, implementing gas and liquid delivery, and developing improvements in how the graphene windows are produced. Following from this, you will benchmark the performance, reliability and safety of your
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take responsibility for the planning, execution and analysis of high-quality research, ensuring the validity and reliability of data at all times and will maintain ongoing scientific discussion with
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sustainability, performance, and reliability. Our research leverages optimization techniques, applied machine learning, and statistical analysis to achieve these objectives. Through the DecAI project we will work
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and tested. Only solutions that satisfy requirements of reliability, value for money, data quality and privacy will be deployed at scale in the Observatory. Your role is to develop such solutions
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publications in theoretical and computational chemical physics. Good experience in software development. Excellent team player with good social and communicative skills. You are reliable and self-driven. What we
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your current expertise. A critical, curious, innovative and analytical mind. Ability to work responsibly, reliably, diligently and independently perform experiments and contribute to teaching. Ability