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principles that rule the adaptation of cellular functions to environmental fluctuations associated with climate change. In particular, the tasks of the PhD student will include the implementation of deep
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techniques based on machine learning with deep neural networks (DeepSets) using GPUs. Data and tools from the LHCb experiment will be utilized. Additionally, contributions to the data analysis of LHCb
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rocky benthic communities thriving between 0 and 300 m depth such as the fish community, macroalgals beds, coralligenous banks and deep cold coral assemblages. The group identifies and characterizes
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seeking candidates with a PhD degree and expertise in an area pertinent to the project and experience in: Machine/deep learning algorithms Biomedical informatics Computer Science Expertise
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Research Infrastructure? No Offer Description Reference number: DC1 PhD research topic: Optimized explainable deep learning algorithms for inverse problems. Applications in geophysics. Host institution
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are seeking 5 PhD students to join our Biometrics and Data Pattern Analytics Laboratory (BiDA-Lab). In our group, you will have the opportunity to work with experienced researchers such as Julian Fierrez
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position within a Research Infrastructure? No Offer Description Applications are now open for an exciting PhD position in software systems and security at the IMDEA Software Institute, located in Madrid
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Requirements/Preferences -4+ years' experience in Machine Learning, Data Science roles in SaaS or consumer companies. -A master's degree or PhD in computer science, machine learning, information systems
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» OtherEducation LevelPhD or equivalent Skills/Qualifications • PhD in ML/AI, Computer Vision, NLP, or Biometrics. Excellent publication record with at least some papers in top tier venues according to ELLIS
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Doctoral Network, the objective of this PhD will be to investigate new advanced reflectometry instrumental concepts. The focus will be put on the particular characteristics of a distributed array of antennas