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skills (including a significant focus on GIS and remote sensing) through to forest restoration, urban forestry, forest ecosystem services and livelihood studies. We welcome applicants with experience from
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of the following areas: fluid mechanics, biology, physiology, computer vision, or other applications in engineering or biomedicine. Expertise in Python, C/C++ or other program languages. We encourage PhD applicants
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the development of theories, collaborate with the top experimentalists, and perform numerical simulations (matlab/python/mathematica). Key Requirements: • Hold a Master's degree (Bachelor's degree will also be
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lattice field theory and numerical methods, with experience in HPC programming (e.g., C++, Python, MPI, OpenMP, CUDA) and parallel computing environments. - Experience in performance analysis, debugging
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related discipline. Proficiency required in one or more of analytical tools such as R, Python, Matlab, or SAS. Successful candidates are expected to be committed to excellence in undergraduate
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designing tools: Unity, Blender, Processing, Maya, Unreal Engine, TouchDesigner, Houdini. • Having proficiency in the following programming languages: C#, Python, JavaScript. Experience Essential • Preferably
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programming skills are essential, with a preference for candidates proficient in Python. Experience with dark matter or neutrino experiments is desirable. What We Offer: Competitive Salary: A minimum of 300,000
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vision, mobile robotics, machine learning, data science and analytics, or be able to demonstrate an equivalent professional practice and engagement. Previous experience in coding (C/C++, Python, ROS etc
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++, Python, ROS etc) in robotics-related domains. Self-motivated for innovative teaching. Clear understanding of the philosophy and concept of Syntegrative Education (SE). Demonstrable past teaching/industry