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Field
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vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
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architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development. Application materials: CV, cover letter, and one recommendation letter.
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the preparation of technology transfer and valorization steps. • Software development (Python, PsychoPy, real-time analysis and visualization tools). • Integration of acquisition modules (EEG, fMRI
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of the following areas: Image processing, partialdifferential equations, scientific computing, deep learning.•Solid programing skills. Knowledge of Python, Tensorflow/Pytorch, and Mathematica.•Fluent
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Engineering, or related. Strong experience in ODE/PDE modeling and simulation (MATLAB, Python, or R). Experience withnumerical methods, optimization, parameter estimation, and sensitivity and uncertainty
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. Demonstrated expertise in writing advanced software in Python. Demonstrated experience with the LINUX operating system, LaTeX, Git, Python. Demonstrated expertise in the design and implementation of deep
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, SAS or Python. Excellent written and verbal communication skills. Experience analyzing real-world health, clinical, or biomedical data. Demonstrated ability to work independently and collaboratively in
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field Strong programming skills (Python) and experience with deep learning frameworks (e.g., PyTorch, TensorFlow). Familiarity with satellite data and geophysical modeling. Interest in physically informed
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(Perl or Python, R, Linux tools, bash scripting) Experience in presenting at conferences Excellent publication record Strong motivation and dedication, scientific writing skills, problem-solving skills
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preferred; experience conducting original scientific research as well as publishing in scientific journals; demonstrated skills in scientific programming (Python preferred), workflow automation, and/or