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Field
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. The main focus is developing and characterizing metallic high-performance materials for/through additive technologies using experiments and computer-aided methods. Furthermore, the chair is dedicated
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Competencies Expert knowledge of microfluidic device design and fabrication methods compatible with automated device manufacturing, particularly in polymer materials. Advanced knowledge in the microfluidic
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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scenario) A bibliography relevant to your proposed project. The application also asks you to list the permits and permissions required for the proposed project, with the estimated dates by which you expect
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, or SLs) to investigate their role in the defense of chicory against thrips and other insects. You will develop and optimize methods to extract, purify, characterize and structurally identify
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08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13
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in Earth Observation develops innovative methods for information extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology Institute
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, development of new mass spectrometry-based methods and experimental designs. Level of scholarly involvement will be commensurate with an academic appointment on the non-tenure track; consistent publication and
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quantitative medical imaging and: 1) image processing of the cardiopulmonary system or 2) a strong epidemiological background allowing them to utilize the output of quantitative imaging methods