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knowledge of R and Python programming languages in the areas of algorithmic trading and modelling of market risk; Specific Requirements other significant achievements (e.g., awards, scholarships) and
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classes on quantitative finance and machine learning); knowledge of English at a level sufficient to conduct classes for first- and second-cycle students; very good knowledge of R and Python programming
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mathematical modelling are encouraged to apply. Terms of employment include competitive salary and benefits. Research in the SIT-D lab focuses on understanding and modelling consumers' behavior and decision
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authorized to work in the United States. The University is unable to work sponsor for this role, now or in the future MINIMUM QUALIFICATIONS Knowledge and skills required for this position are normally
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Description Completion of doctoral thesis related to: Process and analyze experimental data. Develop predictive models using deep learning. Train, validate, and optimize neural networks (CNNs, etc.) applied
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to: -Identification and analysis of existing quality evaluation frameworks and models for the assessment of interlingual live captions, including the most frequent workflows used and in varied language pairs (EN-ES, EN
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computationally and developing scientific software. Experience in Python is highly recommended, additional knowledge of performance-oriented modeling frameworks, either based on Python (e.g., JAX, Pytorch) or other
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signalling center origins - To work on the molecular profiling of tissues and cells from human stem cell-derived brain models - To develop molecular insights about key morphogenic pathways responsible
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-omics liquid biopsy data for minimal residual disease (MRD) detection, quantification, and assessment. This project will involve applying and evaluating statistical and machine learning models for data
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this limitation in the use of satellite observations by make a direct use of radiance observations retrieved by satellites using machine learning without the need of radiative transfer calculations. The new model