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modeling, molecular interactions/energetics, and tools such as AlphaFold, Rosetta, or MD simulations. Solid programming skills (Python); familiarity with machine learning is a plus. For both profiles, we
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molecular profiling platforms. Experience with data analysis software such as GraphPad Prism, R, Python, or similar platforms. Other Requirements: This position is onsite. The work is performed on-site
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. The work will include algorithm design, prototype implementation (e.g., in MATLAB/Python), deployment to robotics applications; onboard computational hardware using the Robot Operating System), and
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, ideally molecular dynamics and/or DFT. Scientific programming skills, particularly in Python, are expected. Familiarity with machine learning or generative AI methods applied to materials would be a strong
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to the job description. Excellent programming skills (Python is required, ROS, C# and C++ are desired). Fluent in English. Experience with sensing technologies, computer vision, and perception. Excellent
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environmental exposures and human health. Good statistical knowledge. Experience with common programming languages (R, Python). Experience managing and analysing large datasets, particularly environment and/or
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completed within the last 0-5 years)in chemical engineering, materials science, industrial engineering, or related fields. Knowledge of Python, JavaScript, Microsoft Excel and other computer programming
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, Statistics, Mathematics, or related fields. Proficiency in R and/or Python programming. Strong written and oral communication skills, demonstrated by peer-reviewed publications and conference presentations
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. Experience in scientific programming, preferably using Python. Familiarity with seismic waveform processing (ObsPy or equivalent software). Willingness to participate in field campaigns, including
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, knowledge of electronics, Python and FPGA (VHDL) programming, interest in working with experts on a cross-institute collaboration project, very good written and spoken English language skills, and excellent