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? We invite applications for a PhD position, focusing on the design and implementation of Spiking Neural Networks (SNNs) using CMOS technology. Project Overview This PhD position is part of a
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. You will draw on ideas from Bayesian optimization and Bayesian deep learning, generative modelling, high throughput screening, and combinatorial synthetic chemistry. Responsibilities and qualifications
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for three years from March 1st , 2026. Project description The advertised PhD position forms part of a competence network supported by the EU Interreg-6a funding scheme between Germany and Denmark. The vision
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PhD opportunity is part of the Marie Skłodowska-Curie Doctoral Network SCARPA , a European training network committed to circularity and sustainability in the footwear industry. Through advanced
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Skłodowska-Curie Doctoral Network SCARPA, a European training network committed to circularity and sustainability in the footwear industry. Through advanced experimental work and risk modeling, you will help
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Doctoral Network SCARPA in shaping the future of circular and sustainable footwear. As a PhD candidate, you will contribute to developing a better understanding of the compositional knowledge of shoes
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
part of the Marie Skłodowska-Curie Doctoral Network called ‘NATECH Risk management and Resilience of High-TECH industries and Critical infrastructures across EUrope’ (REUNATECH). A short description of
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-film solar cells.” You will become part of an enthusiastic team working closely with collaborators at DTU Physics and DTU Nanolab to advance neural network-based methods for materials discovery. Project
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, where the participants live, and at Museum Overtaci, where they are shared with networks and the public. The project will investigate how artistic co-creation can become a method for transforming the