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energy consumption in information processing and machine learning (e.g., arXiv:2308.15905); Quantum phenomena in information processing: exploring how quantum effects can be utilized to process information
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on machine and deep learning methods for analyzing the heterogeneity of microbiota and inferring activities of biological pathways. The Institute provides an international and interdisciplinary research
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at international conferences. You hold a PhD in computational biology/chemistry, machine learning or a related quantitative field. You have a solid publication record and demonstrated experience with advanced
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 18 days ago
qualification PhD in fluid dynamics, physics, applied mathematics, computer science, or a related field. Experience with machine learning, numerical methods for PDEs, TensorFlow or PyTorch, and Python. Experience
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collaboratively within a team. Applicants must have a PhD, or equivalent advanced or terminal degree from a recognized institution of higher learning, in materials science and engineering, chemical engineering, or
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. Participate in project implementation and reporting activities. Contribute to academic life by supervising PhD, MSc and Bachelor students, and assisting in teaching activities. Engage in training opportunities
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of pharmacologically-active molecules using the software. The candidate will work on this well-resourced project with two PhD students, both starting in September 2026. The focus of the successful
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the drivers of extinction across space and time’. The post holder will provide guidance to less experienced members of the research group, including research assistants, technicians, and PhD and project
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group and our local, national and international networks Report your results in peer-review scientific publications and international conferences Teach and supervise PhD, MSc and BSc students as
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developing learning-based perceptive approaches. You will develop learning and/or optimization based approaches to multi-robot path and motion planning and coordination, integrating multi-modal perception and