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signal processing, imaging, inversion, or source characterization, is highly desirable. Proficiency in Python, C++, or Julia, with strong numerical modeling, data analysis, and reproducible code
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Python, C++, or Julia, with strong signal processing, numerical modeling, and data analysis skills; experience with Git-based workflows and AI/ML for science is a plus. Hands-on experience in structural
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degree in geophysics, computer science, artificial intelligence, data science, mathematics, software engineering, or a related discipline. Strong programming skills in Python and experience with software
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Publication track record is an advantage Proficiency in basics of programming languages such as ROS and Python Excellent communication skills, written and verbal – able to communicate complex concepts clearly
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programming, distributionally robust optimization, optimal transport, or reinforcement learning is highly desirable; • Programming skills in Python are desirable, especially experience with numerical
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university; Excellent programming skills, such as Python, C++, Java, Julia, or other competent languages; A good record of publications in reputable peer-reviewed journals or conferences in maritime transport
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programming skills (Python, R, or equivalent). Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow). Experience with statistical analysis and data visualization. Ability to work
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Requirements: Master / PhD qualification degree in AI or related field At least 5 years of relevant experiences in working on Speech AI / LLMs Strong programming proficiency in Python and deep learning
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Statistics. Strong proficiency in Python or R is preferred. Experience: Demonstrated track record of creating data pipeline / repository of medium to large scale data set. Soft Skills: Strong problem-solving
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, R, or Python. 4. Experience in processing and analyzing diverse remote sensing datasets. 5. Ability to work effectively in an interdisciplinary and collaborative research environment. 6. Strong