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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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objects in complex environments. The PhD project will focus on designing and optimizing soft robotic arms and grippers mounted on a rigid, fully actuated UAV to form a highly dexterous and efficient SAM
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limiting their ability to perform essential daily tasks. This interdisciplinary PhD project aims to design a new generation of soft exoskeletons using smart textiles, driven by artificial intelligence (AI
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do The complete design and implementation of analog circuits including
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at the Division of Neurophysiology at the Center for Brain Research is looking for a part-time (30 hours per week) PhD candidate in Neuroscience (m/f/x). The project explores how astrocytes contribute to synaptic
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Design analog and mixed-signal circuits, such as data converters
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31st August 2025 Languages English English English 2 PhD Research fellow positions within Responsible Innovation and Regional Development. Apply for this job See advertisement This is Western Norway
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, we will employ molecular simulations and theoretical methods to understand how to design materials for hydrogen-energy applications. With these design principles, we aim to develop, synthesize, and
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Responsible for RTL design (VHDL, Verilog) of digital blocks and
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RTL design for digital blocks, including design, synthesis, and timing closure Work independently in various phases of the RTL-to-GDS flow: focusing on hierarchical floor planning placement, clock tree