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in data integration, model design, and large-scale training by combining multi-modal scientific data, knowledge graphs, physics-aware machine learning, and GPU/HPC computing to develop transparent and
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/jobs/358916/postdoc-in-artificial-intellige… Requirements Specific Requirements Master’s degree in computer science or artificial intelligence, data science or a related field. Background in Bayesian
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they learn, PRL134, 147402 (2025). Qualifications We seek candidates with: A PhD in physics, applied mathematics, materials science, mechanical engineering, computer science, or a related field. Strong
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Employment 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 22 March 2026 Apply now Pursue a two‑year postdoc at
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. The core tasks will include: Carrying out research within the scope of the research programme; Translating and communicating research findings and scientific insights to different types of audiences
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-Science include epigenetics, stem-cell and developmental biology, and computational biology. The central research theme is regulation of gene expression during development, both in health and in disease
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contribute to the teaching programme of interdisciplinary social science. Your job The programme ‘Youth in Changing Cultural Contexts’ aims to identify opportunities for young people to thrive and grow within
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computational facilities. Both BSI and DCCN are known for their successful graduate schools and strong dedication to open science and team science. They stand for a warm, inclusive and cooperative research
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20% teaching time. You will contribute to the teaching programme of interdisciplinary social science, which is organised by the chair groups ‘Youth’, ‘Social policy and public health’ and ‘Migration
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-2028). The postdoc will have 20% teaching time. You will contribute to the teaching programme of interdisciplinary social science. Your job The programme ‘Youth in Changing Cultural Contexts’ aims