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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research activity is aimed at developing
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processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large
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proficiency in programming languages (e.g., Python, C/C++), knowledge of control algorithms and/or existing architectures (e.g., ArduSub, ROS2) for autonomous navigation, and the ability to develop innovative
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Consortium’s Science Ground Segment, providing algorithm and software development, participating in data quality assurance, and performing data processing. In addition, ENSCI supports the US research community
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such as audio, event-based vision, and inertial measurements, together with user gaze information. Artificial intelligence algorithms will be developed to fuse and interpret these heterogeneous modalities
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computational approaches, including algorithm-guided design, sequence and structure-based analysis, epitope-related studies, and functional evaluation to support antibody development and mechanistic investigation
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methods. Responsibilities and Essential Duties 1. Develop and evaluate radar signal processing algorithms for detection, estimation, and imaging applications. 2. Develop and evaluate radar signal processing
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applications of various sensors and actuators; solid mathematical foundation; priority will be given to those with experience in developing industrial-grade control algorithms, signal processing algorithms
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improves existing software and algorithms. - Develops technical documentation to aid future project developments. - Performs system hardware integration and tuning to support field-testing needs
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environments; and collaborate and guide a team of staff to develop core portability tools, identify key technical opportunities, and drive engagement success. Job Requirements REQUIRED: Bachelor’s degree