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look forward to receiving your application! We are looking for a PhD student in AI and machine learning with a focus on generative machine learning methods for cyber security applications. Your work
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twins, semantic modeling, secure data exchange, and reconfigurable production architectures. The research will also be carried out in LTU’s AIC³ Lab, an advanced test environment for future industrial
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dimensionality reduction methods), systems biology analysis (including machine learning and other AI techniques), statistical tools focusing on analysis of complex longitudinal data, and how different types
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attention to detail, as well as the ability to manage experimental work and data analysis simultaneously. Since the project involves international collaboration and fieldwork, good communication skills and an
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, Raman spectroscopy and HPLC/GC-MS. Computational and Theoretical Analysis: Collaborate on DFT modeling of bond dissociation free energies (BDFE) and charge transfer energetics. Data Analysis and Reporting
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in both wet lab work and bioinformatics analysis of Oxford Nanopore long-read sequencing data related to X-linked diseases. Skilled in proteomic methods using MALDI-TOF and HPLC-MS, including data
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data. You will be required to gain in-depth understanding of data analysis in cryo EM. Depending on your background and interests, the emphasis of the project will be adapted and can focus more on method
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31 Oct 2025 Job Information Organisation/Company Umeå universitet Department Umeå University, Faculty of Science and Technology Research Field Computer science Researcher Profile First Stage
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crystallization of protein, performance of time-resolved crystallography experiments at Free electron laser sources, and advanced data analysis of the time-resolved crystallographic data in terms of structure and
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. The position is open to computational scientists with an interest in single-cell metagenomic analysis. Applications will be accepted until December 11th, 2025. About the position Bioinformatic methods for single