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, and machine learning models for functional genomics research in mycobacteria. Responsibilities Responsibilities include: Develop and maintain Django-based web applications and databases for sharing
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-based techniques (e.g., deep neural networks) will be used to automatically learn the system dynamics and the modelling errors, as well as to obtain an automatic tuning of the cost parameters/constraints
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of Research ExperienceMore than 10 Additional Information Benefits Work in a dynamic group. Eligibility criteria Good command of English. Knowledge in project field. Selection process Please see https
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predictive control, optimization-based decision frameworks, and data-driven performance modelling. The overall goal is to develop computational methods that enable efficient and intelligent operation of wind
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behaviours of multi-agent systems in response to changing internal states and external environmental conditions. Both traditional model-based approaches and modern learning-based control techniques will be
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involved in reproduction. The objectives are to define an experimental model to identify the constraints of sexual selection and to control the parameters for optimizing insect rearing. The thesis's purpose
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, materials science, or a closely related discipline Apply: https://mgician.eu/research/doctoral-candidate-projects/dc1/ DC2: Synthesis and Transport Studies of Magnesium-Based Thermoelectric Materials Host
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for a truly circular wind energy sector. A key component of this mission is developing predictive "look-ahead" control capabilities based on LiDAR technology. Your Mission: Advanced LES & Research
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Instructions to Applicants: This is a time-limited position. Time limited positions are based on circumstances, such as funding sources, which control the length of time for which the position is available
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theory, modeling, and AI-assisted optimization activities within the consortium. Reporting and dissemination of the results. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1074