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Program
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Field
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Skills Programming skills with Python, Pytorch, C++, and MATLAB * Expertise in computer vision/medical image analysis and machine/deep learning Additional requirements may be necessary for admission into a
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equations numerically Experience with programming (C, C++, Python, Matlab or alike) Creative pro-active team player with good analytical skills A research-oriented attitude Ability to work in an
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data with other geophysical/petrophysical data (preferred), • Modeling and analysis skills in MATLAB, Python, or similar software, • Excellent analytical skills, • Conscientiousness and high diligence in
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-based hardware implementation, VHDL/Verilog modelling, C, C++, Python and MATLAB/Simulink programming. A proven background in laboratory measurements and circuit prototyping is required. The following
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OR Physics informed AI Experience with Python, MATLAB, Pytorch, or other scientific computing tools of the area Track record of mentoring students in cross-disciplinary or project-based learning Application
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scientific programming (Python, MATLAB, C/Fortran, or equivalent) and high-performance computing workflows. Proven ability to work across disciplines and manage complex modeling tasks. Excellent written and
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++, Python, and MATLAB programming, digital signal processing, hardware acceleration techniques, as well as Radio-Frequency measurements and lab equipment. The applicants, nationals of countries outside
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essential: A high degree of independence Ability to construct/maintain and use complex experimental setups Proficiency in “big” data analysis (using MATLAB or Python), or Candidates with demonstrated
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). Proven experience in scientific programming and numerical computing (MATLAB, Python, or C/C++), including implementation of reconstruction algorithms and image processing pipelines. Experience with
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analysis; strong letter of recommendation from master project supervisor; Beneficial skill: programming, including some languages of the following list: C, C++, Python, Matlab, Mathematica. Programming