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controlling WBG semiconductor-based converters for electric machines. The role involves designing, developing, controlling, and demonstration of the electric drive system in collaboration with our industry
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: Specialization in machine learning and computer vision. Strong skills in developing computer vision and AI models. Experience with thermography or thermal imaging. Experience in data fusion and multimodal learning
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), aiming to bridge neuroscience and electronics. The project integrates expertise from circuit design, machine learning, and neurotechnology to deliver innovative solutions for applications such as brain
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the Spiking Neural Network (SNN) itself. However, close collaboration with another PhD student working on the SNN hardware design is expected to ensure seamless signal interfacing and system integration. Key
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
Health Tech, one of Europe’s top technical universities, located just outside Copenhagen—a global hub for biotech, clean tech, and quality of life Be encouraged to attend conferences, collaborate across
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for biotech, clean tech, and quality of life Be encouraged to attend conferences, collaborate across disciplines, and publish in leading journals Hold a full-time, paid position for 3 years with
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processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Read more
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fish‑community dynamics and environmental conditions at offshore sites. The successful candidate will join the Observation Technology research group at DTU Aqua and work in a collaborative project with
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computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics
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vibrant research environment supported by robust infrastructure and extensive collaborative networks. Expected start date and duration of employment This is a 1–year position from 1 September 2025 or as