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barriers: a large input modality gap, as network data consists of diverse, non-textual formats like time-series metrics, graphs, and scalar values; the inefficiency and unreliability of answer generation
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for time-series/wearables data, demonstrated by relevant courses and master thesis. Having publications in the area is highly valued as well demonstrated ability to work both independently and as a team
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37 of the Statutes of Universidade do Minho, approved by Normative Order no. 15/2021, published in Diário da República, 2nd series, no. 115, of June 16th, makes it known that, for a period of 10
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machine learning for time series, geospatial data or dynamic models; ideally experience with deep learning frameworks (e.g., PyTorch). Strong analytical and conceptual skills for designing and interpreting
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collected samples from Skåne, the PhD student will help reconstruct biodiversity time series and assess how forest management impacts species dynamics. The position will involve lab and field work
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help reconstruct biodiversity time series and assess how forest management impacts species dynamics. The position will involve lab and field work, bioinformatics, and ecological modeling. Results will
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We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting challenges of today. Our fundamental
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integrating multi-modal data (e.g., time series, geospatial data, text, and image - including both hydrological and human-related data) and capturing complex, non-linear relationships (Bommasani et al., 2021
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towards a new conceptual model that explains the individual dynamics of fatigue. The project will start with an analysis of already-collected data. You will use several forms of time series analysis
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
to financial and economic time series, working with programs such as MATLAB, Python, and C++. The chosen candidate will have the opportunity to take courses and attend seminars at MIT. The ideal candidate will