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. Software or code development, incl. artificial intelligence and machine learning. Automation and robotics, incl. safe human-machine interaction. Serious gaming, incl. AR/VR. Life cycle analysis. You are
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, or computational workflows related to experimental research • Programming or scripting (e.g. Python, MATLAB, R, or similar) • AI- or machine learning–based approaches for data analysis, pattern recognition
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and maintenance of monitoring buoys and related sensor systems. Apply image analysis and machine learning techniques to ecological datasets. Develop and implement multi-platform monitoring frameworks
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Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student
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written and spoken Willingness to engage in interdisciplinary collaboration and fieldwork Advantageous: Knowledge of bat ecology and species identification Experience with machine learning or automated
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design, including experience with amplifiers and bias circuits. Solid background in using machine learning and AI for data processing. Experience with industry-standard EDA tools such as Cadence Virtuoso