239 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" positions in Belgium
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applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. The University of Luxembourg is committed to achieving gender
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of more efficient cancer detection methods and revolutionary therapies. The center is looking for A PhD for the project “Intraoperative assessment of resection margins in breast cancer surgery by Raman
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image sequences. As a benchmark, end-to-end deep learning models will be developed using raw image data. In parallel, shallow learning models (e.g., Gaussian processes) will be explored based on insights
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expertise and startup ambitions to be part of a venture creation process grounded in world-class research. You will play a central role in building and scaling ML-based systems using modern AI technologies
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many real-world applications, finding a solution requires high-performance computer clusters that consume large amounts of energy and run for a long time. Our project aims to create a radically new
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website . Application procedure The application file contains: an American CV a carefully substantiated research or study proposal (personal statement) (including why study/conduct research in the US; what
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. This position uses resources made available by the Flemish Government through the Special Research Fund (BOFZAP). Applications will be evaluated in parallel and independently by 1) the KU Leuven Research Council
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method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during
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method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during
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method, can engineer thousands of defined mutations in parallel in a single test tube in yeast. Strains are tagged by DNA barcodes, allowing to efficiently track mutations in cell populations during