93 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Switzerland
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telescopes. Explore Machine Learning techniques (CNNs, DBSCAN, Transformers, etc.). Implement low-latency computing accelerators on FPGAs. Contribute to open-source ML-on-FPGA tools (e.g., HLS4ML, FINN
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science, chemistry, electrical engineering or a related discipline Strong background in materials informatics and data science Proficiency in Python programming Experience in machine learning for materials
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structural bioinformatics, computational biology, or a related field, with at least two years of postdoctoral experience and a strong publication record. Applications from fresh PhD graduates may only be
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structural bioinformatics, computational biology, or a related field, with at least two years of postdoctoral experience and a strong publication record. Applications from fresh PhD graduates may only be
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team members Perform accelerated optical degradation tests of transparent conductive materials Apply machine learning techniques for data analysis and time-series forecasting Collaborate in a
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to support computational design synthesis and generative engineering design across different representations. A variety of potential application areas will be investigated including consumer products, machine
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fundamental discoveries in biology and medicine as well as several Nobel Laureates. Become part of our community! In Prof. Torsten Schwede's group, we use computational methods, with a strong focus on
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determination of liquid iron alloy densities with application to the lunar core and those of other planetary bodies. In exceptional cases, PhD applications will be considered. Project background The origin
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products, machine design and structures. Profile We are looking for excellent applicants with a Doctoral degree in Mechanical Engineering, Computer Science, Applied Mathematics, or a related area of study
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community through the GitHub platform. Profile Applicants should have a PhD in Computer Science, HPC, Electrical Engineering, or in a similar field. They should: possess a demonstrated expertise in parallel