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TEC. 2. OBJECTIVES: Development of evaluation methodologies in federated learning and new federated learning techniques applied to underwater oceanic environments for processing tabular data, images
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. Desirable Knowledge, Skills, and/or Abilities • Interest and experience in areas include, but are not limited to: Computer Architecture Embedded Systems Robotics Engineering Imaging and Machine Vision Signals
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, and neuroscience, and access to advanced resources such as imaging cores, iPSC-derived systems, and AI-driven tissue analytics. Responsibilities: • Design and Execute Experiments Using Mouse Models
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26749 PhD position in biomedical research (m/w/d) Stellenanzeige merken Stellenanzeige teilen wanted
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professors, 2 postdoc researchers, and about 20 PhD students. The research for these PhD positions will be conducted in the System Software team, headed by prof. Bjorn De Sutter (https://users.elis.ugent.be
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supercomputer (https://dcai.dk/gefion ). Downstream finetuning of models for various radiotherapy related tasks (e.g. image segmentation, dose prediction) will also be a part of the study. As part of the position
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surgery Image analysis software and systems (e.g. FIJI/ImageJ, EyeWire) Light microscopy Experience with tilt series EM tomography Princeton University is an Equal Opportunity and all qualified applicants
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 18 hours ago
of understanding and responding to these complex problems. The school is known for its paradigm-shifting conceptualizations of regulation and governance as well as its collegial and interdisciplinary approach
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history, list of publications indicating scientific highlights, H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You
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related capabilities noted above). This leadership role offers opportunities to link to the broader imaging ecosystem at UQ, including HIRF (https://www.hirf.com.au/), and through external engagement