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optimization and functional characterization of small molecules Integrating biophysical, computational, and cell‑based data Independent experimental design, data analysis, and interpretation Active participation
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: - Distributed robotic autonomy for embodied intelligence - Data-driven and learning-based control - Decentralized decision-making and distributed optimization - Belief-space and uncertainty-aware planning - Neuro
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technologies. Key Responsibilities: Develop and optimize hard carbon synthesis processes using bio-based and non-bio-based precursors. Explore innovative methods to enhance material properties for energy storage
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databases. · Troubleshoot experimental systems and optimize assays. · Prepare manuscripts, reports, and contribute to grant proposals. · Mentor graduate and undergraduate trainees. · Maintain compliance with
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optimize existing pipelines, we are interested in principled approaches, unconventional formulations, and ideas that may initially seem orthogonal to prevailing trends but deserve careful exploration, and
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in engineering or a field related to the project; • Knowledge and proven expertise in computational optimization methods and discrete-event simulation, with experience in regular service design
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 27 days ago
systems optimized for integrating behavior, physiology, and computational analysis, including immersive Virtual Reality (VR) laboratories developed for animal experiments, and real-time behavioral tracking
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dislocation dynamics (DDD) code from TRIDIS, NUMODIS, or OpenDIS, based on the candidate's programming skills (Fortran, C++, or C). - Validate the DDD-FFT coupling required to optimize calculations
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manufacturing. AI methods will then be applied to this large database to inform optimal processing parameters that will produce components with reliable material properties. The process will be validated in a
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polymers, using additive manufacturing. AI methods will then be applied to this large database to inform optimal processing parameters that will produce components with reliable material properties