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Field
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the field of machine learning for medical imaging. About us The research group AI for Vision focuses on blue-sky research in the fields of (1) machine learning for medical image analysis, (2) weakly and self
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) on Foundation Models and/or Deep Learning for Imaging Problems. The Professorship of Machine Learning at the Department of Computer Engineering at TUM has open positions for a doctoral researcher (TV-L E13 100
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and interpretation of biomedical data. We have a particularly strong interest in the application of imaging and computing technology to improve the understanding of brain development, to improve
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17 May 2024 Job Information Organisation/Company Forschungszentrum Jülich Research Field All Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline 19 Jan 2038 - 03:14 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research...
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Your Job: One essential step towards the ramp-up is the identification of site-specific optimal design of DACS plants, which will be the focus of the advertised PhD. To identify optimal DACS plant designs in terms of their techno-economic characteristics an optimization model is to be developed...
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analysis, RNA Sequencing, confocal immunofluorescence imaging) - A structured doctoral programme through memberships in the TUM Graduate School and TRR179 Integrated Research training Group (IRTG
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: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models
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phenotypic imaging, electrophysiology, and clinical data in our research. Moreover, patient-specific iPSCs data enrich our approach of translational deep phenotyping. Finally, as a translational research group
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under public law, the IPB is under direct supervision of the state of Saxony-Anhalt. The IPB is an internationally recognized research institution and consists of four scientific Departments and
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under public law, the IPB is under direct supervision of the state of Saxony-Anhalt. The IPB is an internationally recognized research institution and consists of four scientific Departments and