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(Robot Simulation & Offline Programming), Microsoft Office Suite Programming Languages: Hardware-Level & Digital Design: Verilog, VHDL, Assembly. Data Science & Machine Learning: Python (Pandas, NumPy
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modeling, and AI experts, as part of the international project M2 LInES (https://m2lines.github.io) . You can read about some of our recent work here: Dheeshjith et al. 2025 , Duncan et al. 2025 , Pedersen
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research directions while collaborating with a team composed of domain scientists, experts in climate physics and modeling, and AI, as part of the international project, M2 LInES https://m2lines.github.io
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Engineering or Electrical engineering with expertise in hardware security. Excellent analytic, design, and coding skills. Familiar with a programming language, such as MATLAB, Python, C etc and/or hardware
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. Strong understanding of AI/ML concepts, methodologies, and applications. Proven ability to gather program in AI. Deep expertise in Python and standard ML/Data Science libraries (e.g., TensorFlow, PyTorch
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pipelines to extract biological signals from noisy data sets using Python, MATLAB, and/or LabVIEW. Collaboration: Work alongside biologists to translate raw sensor data into insights explaining the mechanisms
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. Proficiency in Python and either PyTorch or JAX Experience with HPC, GPU is preferred Related Skills and Other Requirements Ability to collaborate on multidisciplinary research in a collegial environment
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in quantitative modeling, data science, mechanical and urban engineering, or AI/ML methods as exemplified by a strong publication record. Previous experience in Python-based scientific computing
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languages & applications (SQL, .NET, MS Office, SSRS, Tableau, Python, R, and Machine Learning techniques) Knowledge of a variety of current and emerging technologies Excellent analytical, problem solving
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Employment Type Full-time or Part-time (depending on the qualifications and availability of the successful candidate) Responsibilities Python programming to process large volume unstructured