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years and in the relevant areas of Machine Learning / Artificial Intelligence, Credit Risk Modeling and Operations Optimization Modeling; The candidate must have strong programming skills in Python, and
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that are relevant to industry demands while working on research projects in SIT. Job Details This Research Fellow will contribute to the UrEco 2030+ project: “Optimizing Urban Ecosystem Services Model for Urban
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performance and yield; spanning from optimal “device recipe” prediction to automated testing and yield assessment. The post-holder will have the ability to engage with world-leading experts across AI and
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screening and engineering for microbial bioprocess development; microbial physiology and adaptation for industrial applications; high-throughput screening and automation for strain optimization
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include the analysis of VOCs emitted from plants to understand optimal conditions for controlled environment agriculture (CEA). By tailoring ‘light recipes’, CEA can optimise plant growth, enhance
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calculations; Experience with developing, training, and optimizing neural networks or other machine learning models. For this position we are targeting a salary corresponding to Level 4 Spine Point 28 - 30
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accelerating their translation into impactful and industry-ready solutions. As a 5G Systems Research Engineer/Fellow, you will design, operate, and optimize the lab’s 5G infrastructure and support experimental
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discrete optimization, demonstrated by at least one publication, is essential. Strong familiarity with stochastic optimization methodology, particularly sample average approximations and two-stage stochastic
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and experience in using these algorithm for electrical engineering problems Excellent knowledge on control and optimization algorithms with implementation to power electronics design experience Good
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for strain optimization; bioprospecting for novel microbial hosts, enzymes, and metabolites to support sustainable biomanufacturing. (Bio)pharmaceuticals: Processing science and technology for bio- and