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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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development designing cloud-based applications in Python / Go / Typescript using modern deployment methods (e.g., Kubernetes, Terraform, etc.), designing software for randomized experiments, and designing
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Skills: Strong experience with MATLAB and/or Python; experience with C++ for high-performance signal processing is a plus. Experimentation: Proven experience developing wireless prototypes, demonstrators
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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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: Certification as CISSP. Programming skills in: SQL, Python, Powershell. Qualifications In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is USD $130,000.00 to USD
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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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an environment with significant trust and accountability. Preferred Skills, Knowledge and Abilities: Advanced skills with Tableau, Python, R, and other statistical packages; Expert level knowledge of Asana
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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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. 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