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languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX. In-depth understanding of transformer architectures, attention mechanisms, and fine tuning techniques
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experience with MATLAB, Python, or equivalent programming languages and will have a strong publication record in the field of working memory or a related area. Terms of employment include competitive salary
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of Python programming and a deep learning framework, preferably PyTorch. Solid knowledge of image processing, inverse problems, and machine learning. Significant research experience, demonstrated by quality
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, or Python. The ideal candidate will demonstrate overlapping interests with Peter van der Windt’s research, which more recently includes work on conflict displacement. Given that much of Van der Windt’s work
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Engineering. Solid knowledge of AI/ML, embedded systems, and IoT architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development
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robotic systems for real-world tasks. Strong publication record in top-tier venues: ICRA, IROS, RA-L, T-RO, IJRR, CoRL, NeurIPS, RSS, CDC, TAC. Proficiency in Python, C++, ROS, and machine learning
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recordings FELASA certificate (or equivalent personal license to conduct animal experiments) is required. Fluent oral and written English communication skills Python, Matlab, R or other relevant programming
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to genetic, genomic, and clinical data analysis are strongly encouraged to apply. Proficiency in programming languages such as Python or R (C/C++ is a plus). Prior experience working with genomic and other
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Python and GEE for geospatial analysis and data science. Experience with machine learning/deep learning frameworks (e.g., PyTorch, TensorFlow) applied to image or geospatial data. A track record of first
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exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time. Required Qualifications Education: Ph.D., M.D. Or Equivalent