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Field
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. Utilize engineering simulation tools such as COMSOL Multiphysics and Finite Element Analysis (FEA) software for design optimization and performance evaluation. Analyse experimental data and prepare
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cycle or non-award courses of Higher Education Institutions. Preference factors: • Fluency in English and portuguese, spoken and written; • Experience in applied optimization; • Knowledge of digital twins
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practices affect latex yield and quality; Demonstrate knowledge of latex extraction, purification, and concentration processes used in pilot-scale operations; Evaluate and optimize processing methods
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and gradient-based optimization methods in optimization of complex structures are significant. The knowledge of programming languages, numerical methods, material properties including their tribological
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surgery. However, the growing use of TAVI has also increased the need for accurate methods to assess valve disease, identify patients who will benefit from intervention, determine the optimal timing
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application of foundation models for fungal DNA and protein sequences. With ARS and external AI knowledge-holders, you will adapt long-context DNA language models to fungal genomes. These DNA-language models
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, e.g. in Python, particularly for machine learning Experience with machine learning theory, evaluation metrics, algorithmic fairness, statistics, or optimization is an advantage Language requirement
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on understanding fundamental plant growth and developmental processes. You will advance your physiological and phenological knowledge on grapevine stress responses and enable identifying grapevines tolerant
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storage, demand‑side management, and hybrid PV–wind systems. Development of optimal strategies for increasing grid hosting capacity considering power quality, voltage stability, and losses. The research
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research. Key Responsibilities: Develop, implement, and optimize machine learning/deep learning models for digital pathology image analysis Analyze large-scale histopathology, omics, and clinical datasets