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Field
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, current methods are either static, rely on heavy offline training, or fail to adapt to changing environments. This PhD project will develop intelligent software agents capable of autonomously optimizing
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proteomics workflows for the analysis of circulating tumour cells (CTCs) from small-cell lung cancer (SCLC) patients. You will work closely with MIPrecise partners to implement and optimize molecularly
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development of implements for managing main and support crops in the field, tested on stationary gantry robots and mobile platforms. Work includes lightweight, structurally optimized mechanical design, sensor
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in acoustic sensing. By joining us, you will become part of a creative, stimulating, and diverse scientific environment, where you can: Develop your research career in acoustics. Present your work
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on enzyme stability under process-relevant conditions (e.g. air–liquid and gas–liquid interfaces), redox enzyme applications, and integration into continuous and multiphase systems. The work will bridge
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solution to support such a demand by getting inspired by the brain’s powerful and energy-efficient processing capabilities. MINDnet aims at addressing the challenge through a holistic optimization - from
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the brain’s powerful and energy-efficient processing capabilities. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices to the overall architecture
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results into applications in close collaboration with industrial partners worldwide. You can read more about the department at www.es.aau.dk. Your work tasks This PhD project is part of a bigger Novo
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. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices to the overall architecture, including a focus on applications, and training methods - across
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by getting inspired by the brain’s powerful and energy-efficient processing capabilities. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices