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– from the modeling of material behavior to the development of the material to the finished component. PhD position on physics-based machine learning modeling for materials and process design Reference
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of Technology (TU Clausthal), is seeking to fill two positions as Academic Researcher in the field of Software Engineering for Dependable AI-Based Automated Driving Systems with Autoware (in the case of fulfilled
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Alfred Toepfer Stiftung & Studienstiftung des deutschen Volkes: You and Europe Scholarship Programme
German is not a prerequisite for admission) Number of Scholarships 14 Duration 2 years, standard period of study for a Master's programme Scholarship Value Need-based monthly scholarship, ranging between
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of future immersive learning opportunities. Your tasks Technical development and implementation of a VR-based learning environment Integration of AI-driven learning modules Creation of industry-specific
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to conduct cutting-edge research in the field of biohybrid materials using synchrotron techniques. Your responsibilities Research associates will be expected primarily to teach and conduct research
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of machine learning or quantum computing Programming skills in Python and/or C/C++ Experience with scientific software tools and numerical libraries Familiarity with Linux-based computing environments Ability
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Description For our location in Hamburg we are seeking: Doctoral Researcher in Machine Learning and Data Processing in the Field of Seismic Measurements Remuneration Group 13 | Limited: 3 years
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Description In this project, we develop machine learning models for prediction of optical properties of chiral molecules based on DFT/CCSD data which we calculate ourselves. We include derivative information by
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water supply sources based on contaminant removal performance and specific energy consumption. Water-energy nexus, resource recovery, and circular economy feature in this project, and will be used
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Hauser and focuses on understanding the neural and computational mechanisms underlying decision making and learning, as well as their aberrant processes in psychiatric disorders. We are now inviting