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Field
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strong technical expertise in deep learning, such as models for image segmentation, classification, multi-modal processing, foundation models, or agentic frameworks. An extensive background in computer
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Infrastructure? No Offer Description Post-doc Position (M/F) at Poznan University of Technology, Poland Project financed by National Science Centre, Poland: call SONATA 21 Project name: Deep insight into biofilm
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learning to understand and predict the behavior of cardiovascular tissues and organs across scales. You will work closely with PhD students, MSc students, and international VITAL partners. This is a full
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scattering and direct dark matter detection, using advanced cryogenic detectors. The MBI hosts a research group dedicated to Machine Learning in Particle Physics. Qualifications: PhD in Particle Physics
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their valuable contributions and deep connection to country and pay respect to Elders past and present. Advance internationally recognised Antarctic climate and palaeoclimate research Be part of nationally funded
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(e.g. use of OpenRouter, vLLM). Experience training LLMs and deep learning in general is a plus; good communication skills in oral and written English. Contributions to OpenML or other dissemination
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of application) PhD or equivalent international degree or enrolled in a PhD program or equivalent international degree program Additional qualifications (required at time of start) Ph.D. (or equivalent
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interpretability and enable causal and counterfactual (“what-if”) analyses. Your work will sit at the intersection of deep learning, genetic epidemiology, and public health, with opportunities to lead methodological
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results-oriented team player. Ideal profile includes following competencies and experience: Strong programming skills, deep statistical knowledge and a proven track record with machine learning Solid
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with deep learning to design van der Waals heterostructures with optimised spin-orbit torque (SOT) efficiency for ultra-low-power memory and computing. Its two pillars are AUTOMATA, an automatic material