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adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised analysis of high-dimensional neural data to decode multisensory information Investigate how neural
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strategies. Key tasks will include: Sedimentological description and analysis of core material at core storage facilities in Stavanger, Norway. Interpretation of wireline log and plug data. Seismic
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errors and whether some analysis configurations can minimize this impact. This step is particularly motivated by the additional 7 years since the ICRF3 production and by the increasing rate of data
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and advancing techniques such as machine learning, graph-based network analysis, and synthetic data generation, the project tackles key challenges in anomaly detection, transaction classification, and
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. The successful candidate(s) will play a significant role in one or more of the following areas: 1) analysis and publication of Energetic Neutral Atom (ENA) data and other observations from IBEX, 2) analysis and
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in quantum optics, quantum light engineering/detection/characterization, ultarshort light pulses and data analysis/processing Where to apply Website https://www.iesl.forth.gr/en/about/job-positions
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related to building performance, energy analysis and/or data science may be considered an asset. For information on certificates and diplomas issued abroad, please see Degree equivalency Experience
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5 Sep 2025 Job Information Organisation/Company Brno University of Technology, Central European Institute of Technology Research Field Chemistry Researcher Profile Recognised Researcher (R2
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scanning probe instrumentation fabrication of van der Waals heterostructures transport, optical spectroscopy, and quantum sensing experiments data analysis, modeling, and scientific communication
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visual and auditory cortices using techniques such as cross-modal decoding, unit reliability analysis, and shared variance component analysis (SVCA) Create comprehensive data visualisations and perform