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Pharmaceutical Roundtable. In this project we will employ deep learning-based protein sequence design tools to deliver biocatalysts for peptide synthesis. These designed enzymes will be further optimized using
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spectrum of learning opportunities in the intersection of materials science, chemistry, solid state physics, materials analytics, numerical modeling and data analysis. Use novel machine learning tools and
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that addresses key societal challenges. Our faculty is large enough to make an impact on both a national and international scale, yet small enough to offer a personal and engaging learning experience. In
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qualitative and quantitative analytical methods to model clinician attention, verbal reasoning, and documentation behaviour Develop and evaluate machine learning models, including unimodal, fusion, and
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), Computational Biology (stochastic and analytical models of gene expression), Signal Processing (machine learning, image and signal processing), Biophysics, Microbiology and Single-cell Biology (flow cytometry
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tracking and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
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platform for careers in academia, aerospace R&D, or sustainable propulsion. Who we are looking for We are looking for an enthusiastic, self-motivated researcher with strong analytical skills, an interest in
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learning new video-based technologies are becoming increasingly available to analyse athlete’s movement in their competitive environment, marking a shift away from the laboratory. FIFA have indeed
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of biomolecules which can only be successfully tackled by employing a variety of different theoretical methods. In this respect, this joint graduate college brings together the expertise in analytical theory from
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complex biological systems. Research Environment & Collaboration The successful candidate will work at the interface of machine learning and biostatistics, developing new theory, algorithms, and scalable