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applications (Python, C/C++, or related languages) Further information about this position is available via email from Assistant Professor Mubashrah Saddiqa (msad@mmmi.sdu.dk ) or Torben Worm (tow@mmmi.sdu.dk
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or prior experience with multilingual or low-resource NLP Programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and their application in high-performance
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processing, optimization, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus; Familiarity with the basic concepts
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candidate should hold a Master's degree in either Data Science, Applied Mathematics, Business Administration and Economics or a related field with strong programming skills, particularly in Python. Priority
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and neurophysiology(EMG/EEG). You have extensive data processing experience(Python, Matlab or other platforms), being able to independently conduct complex signal processing and machine learning
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microscopy, X-ray diffraction, EXAFS, total scattering, as well as Python programming (or equivalent) Demonstrated high-level expertise in any of the following areas will count favorably toward the assessment
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interest in pursuing applied research in computer vision and deep learning with a focus on wind energy application. Proven experience with computer vision tool/software development using Python and/or Matlab
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experience in implementing and applying machine learning models. Additionally, good programming skills in R and Python are required, as these tools are integral to the courses. Offer of employment will
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skills relevant to modelling, simulation, and data analysis (e.g. MATLAB, Python) Essential requirements: Excellent written and oral communication skills in English Strong interpersonal and collaboration
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, geophysics, mathematical modelling, or related fields. The ideal candidate should have: Experience with numerical climate models (such as EC-Earth or similar GCMs). Advanced programming skills in Python