Search for PhD courses in NORDTEK Cooperation |
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339 search results
| Course title | City | Start date | Workload |
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Concrete Technology D
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January 2026 | 5 | |
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Aalto University
<p>The course covers the following topics:</p><p>- Concrete materials (Cement, Aggregates and Admixtures) and proportioning of concrete mixtures<br />- Cement hydration process and microstructure of the hydrated cement paste<br |
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Control of Electric Drives and Power Converters D
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February 2026 | 5 | |
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Aalto University
<p>Characteristics and models of induction motor drives, synchronous motor drives, and grid-connected converters. Current control and pulse-width modulation (PWM). Vector control. Basics of sensorless control. Grid-following and grid-forming convert |
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Converter Techniques D
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January 2026 | 5 | |
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Aalto University
<p>The depth of analysis is more thorough than in the basic course ELEC-E8412. Topics discussed are ac-dc, dc-ac and ac-ac converters. The underlining difference is on line-frequency commutation or self-commutation where pulse width modulation is us |
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Creating Value with Analytics D
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February 2026 | 5 | |
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Aalto University
<p>The course provides an overview of the data analytics toolbox including topics such as causal inference, predictive analytics, optimization, and simulation. These topics are approached from two perspectives: 1) how can the analytics toolbox be ap |
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Cybersecurity D
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April 2026 | 5 | |
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Aalto University
<p>Cyber security concepts. Distinguished visiting lecturers. Course consist individual as well group exercises.</p> |
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Cybersecurity Management D
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January 2026 | 5 | |
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Aalto University
<p>Cybersecurity risk management (identification, valuation and process), cybersecurity architectures and standards in different domains, cybersecurity governance through information and cybersecurity goals.</p> |
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Deep Generative Models D
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February 2026 | 5 | |
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Aalto University
<p>Fundamental and current topics of generative modeling and uncertainty quantification. Both methodological and implementing aspects are part of the course contents. </p><p>Topics include</p><ul><li>Monte Carlo methods |
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Deep Learning D
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January 2026 | 5 | |
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Aalto University
<p>Fundamental and current topics of deep learning. Implementing algorithms on a computer are a part of the course and the programming language is Python. Python-based softwares that allow for symbolic differentiation will also be used.</p> |
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Design and Management of Water and Wastewater Networks D
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January 2026 | 5 | |
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Aalto University
<p>This course gives an introduction to the design, operation and management of water distribution and wastewater collection systems. Additionally, the course incorporates multiple stormwater collection system aspects, including network design, eval |
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Design for Additive Manufacturing L
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April 2026 | 5 | |
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Aalto University
<p>AM technology terminology and characteristic design features<br />Software tools and reverse engineering used for design <br />AM process details affecting design<br />Design strategies & viewpoints<br />Design aspects |
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