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Your Job: This PhD project bridges between classical analytical methods and modern AI based techniques to analyse spike train recordings to advance our understanding of neural population coding
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paragraph 3 of Article 4 of Decree-Law No. 74/2006, in its current wording, provided that, under subparagraph e) of Article 3 of RBI-FCT, they are developed in association or cooperation between the higher
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will be developed using the example of the novel Earth Explorer EarthCARE and will be integrated as observation operator to the sophisticated data assimilation system of the EURopean Air pollution
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models, which are essential for understanding climate change impacts. The work involves reviewing existing modeling and model–data fusion techniques, and developing faster, machine-learning–based tools
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at Honours and Masters levels Currently recruiting students via universities around Australia Receive actual industry exposure and partner placements to develop your skills and network Encouraging students
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staff position within a Research Infrastructure? No Offer Description 2 Doctoral Researchers (f/m/d) in Computational and Data Science at KIT https://www.kcds.kit.edu/72.php Application deadline: January
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Effective communication skills and an interest in contributing to a highly international and interdisciplinary team Motivation for academic development, supported by bachelor’s and master’s transcripts and
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modeling and model–data fusion techniques, and developing faster, machine-learning–based tools that can stand in for slow model simulations. These tools will be used to test how model parameters influence
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based techniques to analyse spike train recordings to advance our understanding of neural population coding while maintaining clarity in the interpretation of results. Concurrently, AI-based methods
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the competitiveness and sustainability of the Blue Biotech sector in the Atlantic Area territory”, reference EAPA_0017/2022, co-financed by the European Regional Development Fund (ERDF), within the scope