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set up reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes following courses and/or workshops (some of which
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the core/international research team. Job description As part of your employment, you are expected to: Lead the development of your own PhD research, aligning it with the work package (WP3) objectives and
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will work on scene understanding using RGB and possibly thermal and radar images, including based on object detection and image segmentation, and collaborate effectively with other technical partners who
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algorithmic contributions in intelligent decision making. Apart from dealing with the scalability challenge inherent in modern AI applications, our group works on two main research objectives. First, we aim
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Antenna Design: Developing innovative antenna systems compatible with metal detector coils, optimized for tasks such as minimum-metal landmine detection and deep object detection. Low Power, Compact
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to critical metal exploration in magmatic settings. Training A personalised training programme will be set up reflecting your training needs and career objectives. About 20% of your time will be dedicated
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are expected to: Lead the development of your own PhD research, aligning it with the work package (WP3) objectives and overarching project themes. Collaborate closely with your supervisors at Khulna
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in AI and machine learning – from classical approaches to large language models. You are proficient in Python and key ML libraries (e.g. scikit-learn, PyTorch, LLM APIs), and you have a track record of
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applications, our group works on two main research objectives. First, we aim to understand how to learn models that are useful for upstream planning, scheduling, and verification tasks, and how to deal with
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nano-scale objects Designing and building a coherent low-energy electron microscope Sample preparation and recording holograms Numerical reconstruction of the sample structure Presenting the results