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Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object tracking, 3D reconstruction, super-resolution. Have a passion on
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mathematical frameworks for multimodal integration, advance video transformer architectures for temporal-spatial dynamics, and develop few-shot learning methodologies for ultra-low-resource scenarios with only
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, please contact Dr. Lasse Hölck (tempfuture@lai.fu-berlin.de / 030 838-55180). Applications should be sent by e-mail, together with above mentioned significant documents, indicating the reference code, in
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learning Deep learning model generalisation techniques Translating deep learning models into clinical settings Experience developing deep learning models for real-time image/video segmentation, object
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) and certificates), indicating the reference code, in PDF format (preferably as one document) to Prof. Dr. Juliane Noth: chinacademy@geschkult.fu-berlin.de or postal to Freie Universität Berlin
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, indicating the reference code, in PDF format (preferably as one document) to Prof. Dr. Sigmar Pauli: larss.heinke@fu-berlin.de or postal to Freie Universität Berlin Fachbereich Biologie, Chemie, Pharmazie
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hands-on experience in video diffusion models and generative AI. The role will focus on core research and development of advanced of multimodal video generation systems. The appointee will work closely
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literature (relative to opportunity), especially on topics relevant to the project objectives demonstrated experience with simulation modelling and coding, especially biophysical modelling advanced statistical
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! Publications Social Media Videos Podcasts Online press review Media Personalia Events Life on Campus Back Events Culture, the arts and leisure time Merchandising Wellbeing Public Engagement Back Studium Generale
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of MIXAP on teaching and learning. We aim for a qualitative and quantitative analysis with questionnaires for teachers and students, focus groups, videos, usage logs, etc. • Provide a list of