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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | about 2 months ago
, including improved discrimination between options of differing quality, flexible responses to environmental change, or robustness to noise. Your position The successful candidate will have the freedom
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 2 months ago
-mission, will feature an island divertor and aims to have sufficient island control and flexibility to provide for robust physics studies required to develop a detailed understanding. Two postdoc positions
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a closely related field with a focus on agricultural systems Solid knowledge of crop modelling and/or data-driven approaches for agricultural decision support Robust experience with Python Proven
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methods, enabling precise midIR spectral measurements from blood rich skin layers. Your work will bridge measurement physics and biomarker estimation: you will transform raw optoacoustic signals into robust
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project is to uncover how collective dynamics and signal-ing feedbacks drive robust pattern formation during early development. We apply advanced stem cell culture approaches, 3D organoid engineering, and
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this project, we aim to establish and operate a fully automated cell culture pipeline for pluripotent stem cells and their derivatives. The position involves developing and maintaining protocols for robust stem
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-informed machine learning for deformation modeling and prediction Integration of perception, planning, and control for robust real-time robotic performance Requirements Ph.D. in Robotics, Mechanical
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. • Direct involvement in the design of experiments yielding high-dimensional data for further bioinformatic analysis • Participation in research projects in immunology, development of robust data analysis
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networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning for inverse