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for detection and/or classification of bioacoustic signals. Extensive experience with programming (Matlab, R, Python) including GPU programming is required, and familiarity with edge-based machine
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includes two postdoctoral researchers and scientific research assistants, with access to an international network of collaborators. The project has its own GPU environment — university hardware, reserved
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
. Advanced Python programming is mandatory; experience with PyTorch, GPU-implementations, or other high-performance computing is considered an advantage. • Strong analytical and quantitative skills
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environmental microbiology and biotechnology. The Center has state of the art equipment within DNA and RNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics, and
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Biotech Research and Innovation Centre, The Lund Group, University of Copenhagen | Denmark | about 1 month ago
Strong foundation in bioinformatics and machine learning, including deep learning Experience training and running models on shared HPC clusters and remote GPU servers, including working in multi-user
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generative models Is highly proficient in Python, PyTorch and/or JAX Has experience training large-scale neural networks on HPC or GPU clusters Has experience with representation learning and sequence or