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past successes: https://europepmc.org/article/MED/35021063 , https://europepmc.org/article/MED/31819264 , https://europepmc.org/article/MED/31561945 , https://europepmc.org/article/MED/39747019 , https
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and optimize methods to measure neuronal activity and morphology. Combine the two methods to detect the cell type and neuronal physiology in one experiment. Computational & Data Analysis Apply advanced
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in the online portal.For more information please contact Prof. dr. ir. Kristel Bernaerts, mail: kristel.bernaerts@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs
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recruited on the project. Full information on the two positions is available at https://jobs.ethz.ch/job/view/JOPG_ethz_yFljDVyQe8rGR1wwVL . The first doctoral candidate will work at ETH Zurich. The present
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). The position is available upon agreement. For further information visit https://brunnerlab.sites.vib.b... and contact Prof. Janine Brunner (janine.brunner@vub.be).
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, that combines diffusion and transformer models, there are clear indications that the analysis of this data can be automated. This will open new avenues in data interpretation and building predictive models
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mini-applications that embody key AI workloads by combining multiple underlying kernels and the key data communications between them. You guide and help analysis and optimization of the performance
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for an enthusiastic researcher who enjoys combining conceptual thinking with hands-on data analysis and societal relevance. Required•MSc degree in Bioscience Engineering, Environmental Sciences, Geography, Public
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on developing the next generation of approaches for analyzing spatiotemporal data arising from sports matches (e.g., tactcal analyses, player/team evaluation, …). See https://dtai.cs.kuleuven.be/sports 4) 1-2
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nanopore data. • Experience in quantitative microscopy • Excellent communication skills in English; collaborative, organized, and self-driven. Desirable • Experience with next-generation sequencing analysis