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Field
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-learning–based segmentation, species classification and lineage tracking workflows for multi-species time-lapse data Optimise models and pipelines for real-time performance, enabling adaptive imaging and
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members of the group help each other. Opportunity for growth as a software developer in areas such as CUDA programming, analysis of neural data, machine learning model applications, and real-time
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scientific database software - Demonstrated expertise in chemical structure analysis by computer - Demonstrated facility in applying mass spectral fragmentation rules for electron ionization
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focus on innovative development and application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. The applicant is expected to develop
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energy storage, or mineral evaluation is desirable. Demonstrated expertise or familiarity in advanced data analytics and computational methods, including data driven modeling, machine learning, and/or
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. The candidate is expected to have an overall interest in AI concepts and methods, in particular human-centred AI, and expertise in formal models and machine learning, as demonstrated by publications and other
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connecting AI, computational biology, human–computer interaction, and research software engineering. Close collaboration with the Helmholtz AI Consultant Team, providing direct exposure to a broad range of
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research oriented towards applications of quantum computing, quantum algorithms, or machine learning. Publishing articles in top-tier journals and disseminating results on thematic conferences. Applying
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, templates, and short explanatory materials that support implementation across academic, co-curricular, and student life contexts Maintain shared repositories of resources and learning artifacts Science of
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02215, United States of America [map ] Subject Areas: Computer Science / Artificial Intelligence , Data Science , Machine Learning , Software Engineering Data Science / Artificial Intelligence , Data