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Sciences. IDA hosts four international master's programmes in 1) Statistics and Machine Learning, 2) Computer Science, 3) Cybersecurity and 4) Design. As a SweCSS postdoc, you could either be based
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We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting challenges of today. Our fundamental values rest on credibility, trust and security. By having the courage to think freely and innovate,...
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with machine learning and generative AI algorithms, with working knowledge of deep learning frameworks such as PyTorch or TensorFlow is considered a strong advantage. • Extensive experience in multi
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postdocs (2 years each) research/consumables funding Work assignments As an Assistant Professor, you are expected to conduct and lead pioneering research that combines fundamental and applied aspects of soft
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and development of algorithms, methods, and theories aimed at better understanding the properties and underlying mechanisms within statistical and deep learning-based systems also in the presence
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of scientific data, e.g. from image acquisition modalities or scientific simulations. Efficient algorithms are at the core of most of these data analysis and visualization applications. The focus of this Ph.D
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like computational complexity of algorithms. It’s also fairly common that we need to drill down into the code for some tool to figure out what’s wrong, so being able to read and understand code is
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distributed across social space, whether residential, organizational, or relational. Segregation is a recurring topic in analytical sociology, offering a key example of how interacting individuals may
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CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm
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-taking mechanisms, and/or experience of running distributed organizations. Ability to build communities and engender a common sense of purpose within them. Awareness of data science and AI challenges