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opportunities to learn, develop, and apply machine learning and deep learning methods on genomics data. Requirements: excellent university and PhD degree with experience in molecular biology, computational
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offers the possibility of a doctorate. What you bring to the table Bachelors, Masters, or a PhD degree in Electrical Engineering or equivalent technical field > 1 years of related experience or equivalent
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with emphasis on medium access layer protocols (MAC), machine learning and LTE/5G procedures Excellent analytical understanding and research skills Creative thinking and interest in new technologies Self
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years of experience working with IEEE WiFi standards Strong background in wireless communication with emphasis on medium PHY or MAC, machine learning and WiFi procedures Excellent analytical understanding
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to develop a 3D-generative algorithm for pharmaceutical drug design by using or combining novel machine learning approaches? How would you integrate machine learning, physics-based methods in an early-stage
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, please visit: https://qbm.genzentrum.lmu.de/application/ Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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efficient algorithms and machine learning/artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems • Further
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Degree PhD Course location Kaiserslautern Teaching language English Languages Discussions are held in English (100%). Programme duration 8 semesters Beginning Only for doctoral programmes: any time
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position (26 hours per week) starting from 01.06.2025 limited to 48 months at our location in Müncheberg as PhD Position in remote sensing for Soil organic carbon and tillage assessment (f/m/d). Your tasks
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data structures, machine learning, computer graphics and vision, database systems, artificial intelligence, logical methods, programming languages, computer architecture, and security, to name but a few