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Max Planck Institute for Mathematics in the Sciences | Leipzig, Sachsen | Germany | about 11 hours ago
[map ] Subject Areas: Machine Learning/Deep Learning; Optimization, Combinatorics, Polyhedral geometry, Algebraic geometry Appl Deadline: 2025/05/01 11:59PM (posted 2025/03/19, listed until 2025/09/19
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both. Ideally, you bring strong technical expertise and the curiosity to work across modalities and domains. Your responsibilities Design and implement machine learning and deep learning pipelines
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science, and applied plant research Example reading: Peleke, F. F., Zumkeller, S. M., Gültas, M., Schmitt, A., & Szymański, J. (2024). Deep learning the cis-regulatory code for gene expression in selected
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., deep learning and statistical modeling). You have knowledge of molecular genetics and genomics. You have a very good command of English (both spoken and written). You have the proven ability to conduct
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Methodological competence: Strong programming skills, ideally including experience in deep learning and/or high-performance computing Passion for method development Very good English communication skills – both
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role in the global carbon cycle by transferring carbon from the surface ocean to the deep sea through the formation, sinking, and remineralization of organic particles. Despite its importance, our
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Postdoc (f/m/d) in Machine Learning for Quantum Computing and Simulation of Quantum Matter / Comp...
) methods to study complex quantum systems relevant to the green energy transition. The focus is developing novel Neural Quantum States, deep learning approaches to design quantum computing (QC) algorithms
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field such as computer science, bioinformatics, mathematics, computational life sciences, or related. Profound knowledge in machine learning, preferably deep learning for image data. Experience in
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development. Experience with implementing statistical learning or machine learning (e.g. Bayesian inference, deep-learning). Programming skills in Python and experience with frameworks like PyTorch, Keras, Pyro
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arm, several Unitree GO2 robots, mobile platforms and robot arms and access to powerful GPUs for simulation and training Involvement in teaching and contributing to the fields of robotics, deep learning