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-on experience in training large neural networks (generative models). Hands-on experience in medical image reconstruction. Preferred Qualifications: Proficiency in Python, C/C++, and Unix-like operating systems
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architecture and hardware security, significant coding experience (both Python and C/C++), and a record of working in a Linux environment and related scripting languages. What we offer At the university
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 hour ago
opportunities to develop software (C, Python, Fortran) to modernize the legacy MMS instrument. This position will afford opportunities to participate in NASA-sponsored flight campaigns, and contribute
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cell RNA-seq, ATAC-seq Experience with python and/or R programming languages, including single cell package ecosystems (scanpy and/or Seurat) Experience working within HPC environments Experience working
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. Programming skills (Python or Fortran preferred, but not required) are desired. Experiences with catalysis (biological, homogeneous, or heterogeneous), excited-state simulation methods, multiscale simulations
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river delta models. Demonstrable ability to use programming languages such as Python, Julia, C, C++ or Fortran. Familiarity analysing functional diversity and/or geomorphological information. Curiosity
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cell RNA-seq, ATAC-seq Experience with python and/or R programming languages, including single cell package ecosystems (scanpy and/or Seurat) Experience working within HPC environments Experience working
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expertise in analysing/ training models on biological or chemical datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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publication record in top-tier venues: ICRA, IROS, RA-L, T-RO, IJRR, CoRL, NeurIPS, RSS, CDC, TAC. Proficiency in Python, C++, ROS, and machine learning frameworks such as PyTorch or TensorFlow. Excellent
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, computer science, statistics, or a related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale