53 machine-learning-and-image-processing-"RMIT-University" positions at Umeå University
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Our societies rely on computer systems and on software stacks. Unfortunately, software
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educational programs in Computing Science, we are now seeking a PhD student with a focus on Computer Security. The Department of Computing Science has been growing rapidly in recent years, with a focus on
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sampling and detailed characterization of lime and cement clinker products from electrified manufacturing processes. The position is full-time for two years, starting on November 1, 2025 or as agreed
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multimodal machine learning. Admission requirements The general admission requirements for doctoral studies are a second- cycle level degree, or completed course requirements of at least 240 ECTS credits
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. Project description Autophagy is an evolutionarily conserved self-eating process mainly purposed to eliminate or recycle dysfunctional cellular organelles or unused proteins. Autophagy plays an important
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or explainable AI or safety). Experience in machine learning, causal inference, image processing, human-robot interaction, or large language models. Experience in analyzing multimodal data (e.g., text, sensor
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Project description The postdoctoral fellow will explore synaptic processes and white matter pathways between
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structural biology, molecular biology, biotechnology or equal. You have extensive experience in EM data collection (SEM, TEM and/or Cryo-EM) and analysis. Very good computer skills with a focus on image
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on EM methods. Work assignments include, operation and maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection, and image analysis
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learning, bioinformatics or advanced statistical methods, to help explore molecular, imaging, clinical and/or epidemiological data. You will apply, adapt and develop machine learning approaches to provide