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-Level Synthesis (HLS) implementations. Working knowledge of C++/C, Python, Verilog. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams
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-reviewed journals and conferences Demonstrated research experience with HPC, AI/ML and/or distributed systems techniques. Proficiency in programming languages such as Python, C++, or similar, as
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), CUDA and/or OpenACC, FORTRAN, Python. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams
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(HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming languages such as Python, Julia, R, Fortran, or C/C
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driver development Expertise with at least one or more applicable programming language, such as C++, Python, Java Experience with one or more hardware-software communication interfaces: UART, I2C, Modbus
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(bash, Python, Go) Experience deploying and maintaining automated configuration management software such as Puppet Strong interpersonal and communication skills Ability to work as a team player Proactive
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is a must. This includes experience in project management and talent development. Proficiency in scripting languages like Bash, Python, or Perl is expected for automation tasks. Familiarity with C/C
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infrastructures using GPU accelerators. Experience building data-fusion workflows to ingest multi-modality geospatial data. Experience using Python or other programming languages to develop AI algorithms in PyTorch
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reasoning or tool-augmented LLMs, RL (RLHF/RLAIF/online RL), or foundation models for science, Software engineering skills (Python) and experience with modern DL stacks (PyTorch) and multi-GPU training
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electronics. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications: Experience in real-time simulation hardware like Opal-RT and