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Founded in 1614, the University of Groningen (The Netherlands) enjoys an international reputation as a dynamic and innovative centre of higher education offering high-quality teaching and research
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machine learning and neuromorphic hardware is to utilise material platforms that exhibit multiwell behaviour. One challenge here is to understand and control the dynamic response of the system for complex
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) enjoys an international reputation as a dynamic and innovative centre of higher education offering high-quality teaching and research. Flexible study programmes and academic career opportunities in a wide
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are interested in a scientific career. You have previous experience with Drosophila genetics and molecular biology. We are a dynamic international lab, so a good command of English is essential
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Organisation Job description Founded in 1614, the University of Groningen (The Netherlands) enjoys an international reputation as a dynamic and innovative centre of higher education offering high
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career. You have previous experience with Drosophila genetics and molecular biology. We are a dynamic international lab, so a good command of English is essential. What we offer you We will give you a full
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. Methodologically, you will explore advanced deep learning approaches, including convolutional and transformer-based architectures, as well as methods for modeling temporal dynamics in longitudinal imaging and omics
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. One challenge here is to understand and control the dynamic response of the system for complex input signals. Your goal will be to explore material systems that host novel types of correlated electron
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, chemistry, computational science, or a related field. Strong expertise in at least two of the following: density functional theory (DFT)/many-body methods, molecular dynamics (MD), machine learning (ML
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in experimental (marine) biology/ecology and an interest in molecular ecology to investigate the prospects of using marine vegetation (e.g., seagrass) to improve the health of commercially important