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Machine Learning Integration Develop and implement machine learning algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC
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research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations to experiments in subatomic physics. The Plasma Theory group within the Division
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part of our values. For information about processing of personal data in the recruitment process. It may be the case that a position at KTH is classified as a security-sensitive role in accordance with
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processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex biological systems
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
cases, shorter periods may be acceptable. Application process AnapplicationmustcontainthefollowingdocumentsinEnglishorSwedish: A complete curriculum vitae, including date of the thesis defence, title
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interact with to facilitate the research process and increase the synergetic effects. You will also have the opportunity to meet other KIRI postdocs, present your work at scientific events, and take part in
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of innovative textile processes and technologies. Welcome to the Swedish School of Textiles at the Faculty of Textiles, Engineering and Business! Mission 0 House Mission 0 House was created with one goal in mind
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
acceptable. Application process AnapplicationmustcontainthefollowingdocumentsinEnglishorSwedish: A complete curriculum vitae, including date of the thesis defence, title of the thesis, previous academic
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite