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participating in discussion forums Self-learn, experiment and evaluate new technical frameworks and technologies Qualifications Degree in computer science, machine learning, AI, and other relevant equivalent
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IoT and Machine Learning Security Engineer KTP Associate - INTERNAL ONLY Apply online Job number SST00289 School / Service School of Science & Technology Department Department of Computer Science
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labelled datasets for training and evaluating deep learning models Work under supervision to assist with development of machine learning models Inspect and provide feedback on model predictions This project
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. The candidate must be able to communicate in English (oral and written). The knowledge of the French language is not required. The candidate must have a strong interest in machine learning. Skills in
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to synthesize sequencing-based analysis results e.g.,Rshiny, d3, plotly, ggplot2. A solid understanding of statistics and experience in the implementation of machine learning and statistical inference algorithms
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implementation of advanced statistical and machine learning models, manage large-scale geospatial and temporal datasets, and enhance data infrastructure to support research and applied projects focused on hazard
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for microbiome engineering, such as CRISPR or other gene-editing approaches. •Experience in computational modeling, machine learning, or data science applications in microbiome research. •Previous experience in
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to machine learning, AI, and industrialization. With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen), the SDSC provides expertise and services to various
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support of multimodal learning. The successful candidate demonstrates expertise, innovation, and proficiency in applying learning theory, design models, and best practices to develop engaging online
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skills, such as distributions, statistical testing, regression, etc. Professional experience developing machine learning solutions and applying them in real-world scenarios. Proficiency with machine