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: Implement and setup an algorithm to specify grasp poses for different parts with a specific robotic hand (position, orientation, approach vector, pre-grasp offset), contact constraints, force/torque limits
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architectures Analysis and preprocessing of different data types (texts, images,etc.) Review latest literature and data Orchestration and documentation of deep learning experiments Processing and visualization
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Max Planck Computing and Data Facility (MPCDF), Garching | Garching an der Alz, Bayern | Germany | 6 days ago
workflows Deep understanding of machine learning algorithms and modern deep learning fundamentals Excellent programming skills in Python and PyTorch Practical experience with transformer architectures and
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 29 days ago
algorithms to estimate human shape and motion in images, videos, RGB-D sequences, etc. Our approaches define the current state of the art. The Data Team is working closely with computer vision researchers
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algorithms to compute similarity between interaction interfaces across millions of comparisons. This hinders identification of novel modes of protein binding, i.e. those predicted by AlphaFold, and it hinders
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | about 1 month ago
functions to detect ecosystem change and predict ecosystem characteristics under different impact scenarios. The integrated analysis of marine microbial eDNA data and contextual environmental information with
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of parameters that improve process performance and material quality. Secondly, different machine learning strategies based on traditional supervised learning techniques (e.g. random forest (RF
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. This is because experimental techniques to solve structures of protein complexes favor more stable interactions with larger interfaces and because we lack efficient algorithms to compute similarity between
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of algorithms and digital neuromorphic hardware is an additional avenue for enhancing the efficiency of the methods. In this context the research will explore digital, event-based implementations
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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power