304 electrical-machine-"https:"-"https:"-"https:"-"https:"-"https:" positions in Netherlands
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, and green electricity-driven electrolyzers, in collaboration with Dutch academic and industrial partners. . All projects are united by a common philosophy: precise atomic-scale control of materials
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research and inspiring education, we contribute to the interpretation and, where possible, solutions to current societal issues, from climate change to digitalization. Our community is personal, engaged, and
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position of Lecturer for Informatics. This is what you will do We are looking for a Lecturer who will support group classes (project seminars and computer lab sessions), grade assignments and supervise
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, current tear-collection methods can alter tear composition and prevent reliable measurements, limiting the clinical adoption of tear-based diagnostics. In this PhD project, you will develop innovative
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candidates chosen due to its high melting point, good thermal conductivity and low erosion rate. However, transitioning to the long-term timescales and high reliability required for commercial fusion means
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Information Systems research topics and methodologies. Research interests that synergise with the section and the department’s current focus, particularly in AI, business analytics, digital business, online
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will then develop XR applications that provide real-time guidance through visual, auditory, or haptic feedback in everyday situations. Using wearable devices, machine learning, and cognitive models you
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by a more experienced theoretical postdoc. In the second phase of the project, work will move towards current-driven dynamics of the nanosized textures, the exploration of topological excitations, and
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cardiovascular care. Within the consortium, TU Delft contributes expertise in cardiac mechanics, soft tissue modeling, growth and remodeling, machine learning, and uncertainty-aware model personalization. As a
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, physiology and disease development; profile root and leaf microbiomes using amplicon sequencing; analyse integrated microbiome and phenotyping datasets; contribute to machine-learning models predicting