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scientific programming in Python and experience with GPU processing of large-scale datasets. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related
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, engineering, computer science, or a related field. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related modality. Strong scientific programming in
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programming (Python, GIT, etc.) strongly preferred Basic cleanroom experience preferable Excellent technical problem-solving skills Open-mindedness, communication skills and critical thinking Willingness
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, normalizing flows, VAEs, generative transformers, or related methods. Strong programming skills and experience with modern deep learning frameworks. Experience with large-scale model training, distributed
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; or Windows: batch/powershell) or in programming languages and tools (e.g. Python, git). Knowledge of ITIL or similar industry best practices (incident / change management). Your Profile: Bachelors in
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agents) to significantly accelerate coding practices, automate boilerplate code generation, and test plan creation. Designing and building robust CI/CD pipelines and automation systems that integrate AI
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interest in contributing to both the conceptual and empirical dimensions of research Proficient in, or willing to learn, programming languages (e.g. MATLAB, Python, R) Experience with one or more of the
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related field; Strong publication record in relevant venues; Solid programming skills in Python and a modern deep-learning framework Excellent communication skills in spoken and written English; Self
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, and interpreted. Essential qualifications include: Strong programming skills, preferably in Python and/or R, with experience building reproducible data-analysis workflows. Excellent quantitative and