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Field
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geophysics, physics, geoscience, computational geoscience, or related natural sciences with an overall grade of at least good Experience in programming (e.g., MATLAB, Python, C/C++) Advanced knowledge
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experiment on a metric-scale concrete wall, using the multi-physics NDE probe integrated onto drone platforms. Expected Results A Python-based multi-physics Maching Learning framework for NDE characterization
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professional curriculum such as: - Experience with computer programming and system administration (Python, Java Script, Web programming); - Proven experience with DevOps tools and practices (Docker, Kubernetes
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of communication protocols and security architectures Knowledge of aviation systems (CNS, ATM) or strong motivation to acquire this expertise Programming experience in Python, C/C++, or Rust Ability to work with
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requirements Required: MSc degree (or equivalent) in Aerospace Engineering, Air Transport, Operations Research, or related field Strong analytical and modeling skills Proficiency in programming (such as Python
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communication skills and are able to work in a multidisciplinary team. You have strong programming skills (e.g., C++, Python, …). You are creative, critical, analytical, motivated and persistent. You have a good
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related discipline. A solid background in de novo protein design, protein structure prediction (Rosetta, AlphaFold, …), protein expression, structure elucidation, machine learning, C/C++ and/or Python with
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Background in acoustics, fluid mechanics, aeroacoustics, and numerical methods. Specific Requirements hands-on experience with computing in C/C++, Fortran, Python, or similar programming languages excellent
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experimental fluid dynamics. Experience with laboratory instrumentation, data acquisition, and coding for experiment control or data analysis (e.g. LabVIEW, MATLAB, or Python) would be beneficial. Applicants
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development experience, and simulation/prototype development experience in MATLAB, Python, and/or OCTAVE and experiences in system level simulation and testing. Focus on problem solving and self-motivated