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Field
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to make viable trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with
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) and with molecular-biological methods, experience with multi-scale approaches of spatial ecology (meta-communities, meta-ecosystems), experience in data management, spatial statistical analysis
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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this position) Some experience with LinkedIn, Meta, email tools or analytics is nice — but not required if you’re the type to roll up your sleeves and figure things out What we offer in return: A flexible student
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marketing, marketing technology (MarTech), and lead lifecycle management. 1. Digital & AI-driven Performance Marketing Plan and manage end-to-end digital campaigns across platforms such as Google, Meta
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ICs. Development cycle including circuit design, simulation, modeling, layout, verification and measurements Design high power-efficiency RF power amplifiers Develop scripts and algorithms for analog IC
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components: - operational modal analysis to extract the modes of the probed medium, - algorithmic and experimental developments on the MSE method - and algorithmic and experimental developments on the MFP
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the throughput and reliability of Low-Power Wide-Area Networks; (b) implement algorithms and carry out performance evaluation; and (c) perform any other duties as assigned by the project leader, the Head of
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context. The work will include, but is not limited to: investigating new mathematical formulations of the underlying physics; developing fast algorithms and numerical methods that leverage modern parallel
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI