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of models like CNN, RNN, Transformers with some work in classical machine learning with XGBDTs is expected. Relevant work can lead to co-author publications and contributions to grant proposals. Tentative
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of a call for awarding a research fellowship (RF) in the scope of the research project AQUALEARN – Machine learning-based digital twins for real time anomaly detection in water supply systems. 3
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human cell systems, and in vivo models. We routinely work with ex vivo primary cells and patient-derived specimens and employ humanized mouse models to enable mechanistic studies and forward genetic
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. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Strong analytical skills and excellent judgment. Ability to maintain detailed
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and in vivo models. The prospective candidate will have opportunities to work within a highly interactive, multidisciplinary team. Preferences will be given to candidates who Have some relevant research
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
-throughput screening; - Cell painting assays and high-content image-based analysis (e.g., CellProfiler, Harmony); - Machine learning models for antimicrobial activity prediction (e.g., Weka); - Strong
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novel machine learning models—including Physics-Informed Neural Networks (PINNs), variational autoencoders, and geometric deep learning—to fuse multimodal data from diverse experimental probes like Bragg
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being performed. Basic computer skills including a working knowledge of Microsoft Word, Excel, and PowerPoint. Proficiency in R studio or other statistical software; or an equivalent combination
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frameworks. Familiarity with machine learning or AI methods applied to imaging. Research Data Management and documentation practices Statistical Analysis & Experimental Design Technical Communication (reports
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Professor / Associate Professor / Assistant Professor / Research Assistant in Quantitative Marketing
inference, or machine learning techniques; and (ii) are open-minded and committed to teaching excellence at both undergraduate and graduate levels. Applicants for the Research Assistant Professor position