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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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Salary range: 9 772,00 PLN (gross) Place of work: IPG PAS, Poznań, Poland Start date: 28.08.2025 Deadline for applications: 31.10.2025 Project: “Long non-coding RNAs as multifaceted players regulating
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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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focus lies on a complementary approach of compression testing and high-pressure torsion deformation. The experiments are performed on hydrogen pre-charged, nanostructured metals and require analysis
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formats: video recording, online or onsite. The question based interview will evaluate the match between the candidate’s profile and the requirements for the position, including the technical and personal
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(IP) using a safe, secure, and reliable video-conference solution (e.g., Zoom) and will las up to 45 minutes. The outcome of the interview will be a written ESR for each candidate. Phase 5. Final