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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | about 9 hours ago
provide a mechanistic framework for understanding how brains encode directions, goals, and competing options in continuous space. For example, different behavioral modes, from directed choice to exploratory
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
. The researcher(s) will be provided access to state-of-the-art supercomputing facilities with advanced GPU and data storage capabilities. Additionally, opportunities will be available for collaborations. Duties
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will focus on the development of GPU-accelerated GPAW software based on density functional theory (DFT) for constant-potential calculations within a plane-wave framework. The developed software will be
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and transient inverter modeling and different applications of the simulation. Selection will be based on qualifications, relevant experience, skills, and education. You should be highly self-motivated
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. We expect successful applicants to work towards improving the collaborations and connections among the different areas. We invite applicants to visit our website to learn more about current research
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evolution of the seabed and the salt marsh. In fact, solving an advection-diffusion equation for different sediment grain sizes and vertical levels rapidly dominates the computational time and does not
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machine learning techniques, and GPU programming. The simulation results will be compared to observational data obtained using facilities worldwide including ESO and NOT. Who we are looking for A successful
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linear algebra computations, building software for scientific applications using GPUs (Graphics Processing Unit), multi-threading and parallelism, numerical discretization methods (finite differences
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detection, avoidance and path planning methods for mobile systems in any field Expertise on object feature detection, classification and localization Real experience on working with different perception
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different