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FAccT, KDD, SIGGRAPH, ACM Multimedia) Strong written and verbal communication skills in English Strong background in mathematical modelling and analysis Proficiency in software implementation
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carbide ceramics. This project is a close collaboration between the Smart Materials Processing and Architectured Materials groups of the laboratory and focuses on the design, fabrication and
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Architectures Demonstrated ability and interest in working across methodological boundaries Solid programming skills (e.g. Python) and experience with research-oriented software development Evidence of research
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requirements should be implemented; design and propose architecture and operations concepts and propose recommendations on the most promising technologies that should be leveraged; prototype software
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an expanded coherent and exascale-ready software stack featuring breakthrough research advances that meets the needs of complex parallel applications and the requirements of heterogeneous exascale architectures
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candidate will play a central role in engineering fibrillar composite architectures that mimic PTFE performance while introducing recyclability and regulatory compliance. Your Tasks: Develop and characterize
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Higgs and Standard Model measurements, and searches for new physics and performance studies. Candidates with experience in modern AI/ML methods—such as transformer architectures, tokenization strategies
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is suitable for industrially scalable dry electrode processing. The successful candidate will play a central role in engineering fibrillar composite architectures that mimic PTFE performance while
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. Responsibilities Model Development: Build and train advanced deep learning architectures (e.g., CNNs, Transformers, Generative Models) to decode the regulatory logic of genomic enhancers in GBM
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the genetic architecture of molecular traits alone and in interaction with the environment. S(h)e will help in defining the direction of scientific work, conducting research, analyzing data, preparing the work