Search for PhD courses in NORDTEK Cooperation |
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586 search results
| Course title | City | Start date | Workload |
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Material Modelling in Civil Engineering D
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April 2026 | 5 | |
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Aalto University
<p>- Elasticity (linear, hyper-elasticity, isotropy, anisotropy, orthotropy)<br />- Viscoelasticity<br />- Viscoplasticity or creep<br />- Plasticity (associative, non-associative)<br />- Damage, damage coupled to plasticity& |
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Materials Characterization, laboratory course D
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February 2026 | 5 | |
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Aalto University
<p>In this course, the student can exploit the most common materials characterization methods to characterize the structure and physical properties of materials. The student can evaluate the capabilities and limitations of major materials and surfac |
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Materials Engineering by Thin Films D
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January 2026 | 5 | |
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Aalto University
<ul><li>holistic approach to engineering of material systems by thin films</li><li>analysis of thin-film functionalities, and how they correlate with fundamental properties</li><li>translations of thin-film structure to |
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Materials for a World in Transition D
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January 2026 | 5 | |
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Aalto University
<p>The use of materials by humans is having a profound and transformative effect upon the biosphere and yet is an integral part of the global economy and society. The course aims to consider how we might rethink our use of materials in the context o |
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Materials for Power Electronics
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January 2026 | 5 | |
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Aalto University
<p>The main topics to be covered are:</p><p>Wide-bandgap semiconductors</p><p>- Materials and applications</p><p>- Front-end and back-end manufacturing processes</p><p>Power components and modules</ |
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Materials Safety D
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September 2025 | 5 | |
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Aalto University
<p>The course lectures develop student s existing understanding on deformation, stress concentrations and fracture with emphasis on phenomena underlying various failure mechanisms. Common failure mechanisms (cleavage, fatigue, creep, environmentally |
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Mathematical Methods for Network Science D
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January 2026 | 5 | |
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Aalto University
<p>Mathematical methods and their use in networks science. Topics are mostly related to large random graphs and include common approximations and assumptions in network science, network models, component size distributions, percolation, branchin |
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Mathematical Methods of Modern Statistics and Simulation
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Karlstad | - | 20 hours per week |
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Karlstad University
Module 1: Statistical data analysis A. Theory Probability, conditional probability, Bayes' theorem, discrete and continuous random variables, probability function, distribution function, density function, averages, dispersion measures, multidimensiona |
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Measure and Integral D
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October 2025 | 5 | |
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Aalto University
<p>Outer measure (properties of measurable sets, characterizations of measurable sets, Lebesgue outer measure), measurable functions (properties of measurable functions, approximation by simple functions, Egoroff and Lusin theorems), integration (co |
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Measurement and Control of Energy Systems D
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September 2025 | 5 | |
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Aalto University
<p>Lectures:</p><ul><li>Introduction</li><li>Flow measurement</li><li>Temperature measurement</li><li>Pressure measurement</li><li>Measurement uncertainty</li><li>Data acq |
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