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Field
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Chemistry and Chemical Engineering , with co-supervision from Martina Petranikova’s hydrometallurgy group within the same department. You will work alongside doctoral students and postdocs with
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include: Developing and analyzing representative dynamic simulation scenarios for electrical power systems Extending kernel-based Gaussian Process methods for the estimation of electrical and control
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Master Thesis - Decoding Occupancy: Classifying User Activity from Building Power Consumption with Machine Learning At the Institute of Climate and Energy Systems Engineering (ICE-1) we focus on the
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chemometry, bioinformatics, food and nutrition science, biotechnology, engineering or similar Strong written and verbal communication skills in English Experience in computational metabolomics and
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challenge by developing a real-time, in-line endpoint detection system. The plasma generated by each individual laser pulse is spectrally analysed to detect the characteristic copper emission—the instant
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efficiencies with perovskite/silicon tandem solar cells, effective engineering of the interfaces is necessary. Layer systems consisting of Al₂O₃ and TiO₂ have the potential to improve the interface between
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drought early warning and monitoring system for large-scale river basins. The project will explore both data-driven and model-based approaches for drought predictions, paving the way for a continental high
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systems engineering, or (3) machine learning and artificial intelligence. You will work closely with our senior researchers to further develop and enhance open-source solutions for areas such as log
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at a single location and moment, provide only limited insight into how such interference behaves at system level. In this PhD project, you will develop the measurement and analysis methods needed to
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carried out at the Department of Information and Communications Engineering, DICE , at Aalto University, Finland. The project environment offers excellent infrastructure for deep learning, speech