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Field
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learning and deep learning Excellent programming skills in Python Practical experience with PyTorch (preferred) and/or with TensorFlow, scikit-learn, and GitHub Experience with scientific experimentation and
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, and sleep stages using Python Contributing to and shaping cross-species computational modeling Leading publications and presenting results at international conferences Mentoring junior researchers and
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automated manner. This includes the development of Python-based control and automation routines, as well as the analysis of large experimental datasets. These characterization techniques may be complemented
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. Knowledge of geoinformation technologies, 3D building modelling (BIM), and AI applications Knowledge of R and Python—especially spatial data science techniques Analytical and process-oriented thinking as
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, and/or AI techniques. The orchestration of the full solution can be managed, e.g., by an agentic component. What you contribute Programming skills, preferably Python, and good software engineering
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the solution by integrating state-of-the-art MARL methods, with a strong emphasis on scalability and reliability. What you contribute Experience with Python ML stack, e.g. TensorFlow, Stable-Baselines3 Strong
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
3D vision topics such as 3D mesh models, statistical shape modeling and articulated pose estimation Solid ML/AI foundation Strong programming skills in Python (CUDA is a plus) Hands-on experience with
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(or equivalent) in Computer Science, Engineering, Robotics, or a related field Excellent programming skills in C++ and Python Strong motivation to conduct innovative research at the intersection of machine
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laboratory techniques such as DNA/RNA isolation, PCR, NGS-sequencing o bioinformatic and statistical methods based on bash, R or Python • An open mind-set, curiosity and a strong motivation to excel in
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of software development (e.g., Java, C/C++, Python) and an interest in software security and AI Ideally, experience in areas such as static and dynamic program analysis, software engineering, or compiler