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of Trees for Me approx. Ten new PhD students and postdocs will now be recruited, and they will collaborate with stakeholders representing the whole forest-based value chain, to build research excellence and
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Division carries out research, undergraduate and postgraduate education within materials physics. https://liu.se/en/organisation/liu/ifm/tunnf The employment When taking up the post, you will be admitted
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is required. Your workplace The Thin Film Physics Division carries out research, undergraduate and postgraduate education within materials physics. https://liu.se/en/organisation/liu/ifm/tunnf
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forward to receiving your application! Your work assignments The project focuses on the development and optimization of electrocatalysts and electrolyzer systems for sustainable energy conversion
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systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization
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at developing and optimizing radionuclide therapy for prostate cancer and other malignancies. The doctoral training is carried out through participation in the various components of the projects, enabling
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peptidomics at Lund University. The duties include: Planning and conducting experiments. Developing and optimizing methods for sample preparation, peptide enrichment, and fractionation. Performing LC-MS/MS
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algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
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doctoral student, your primary responsibility will be to pursue third-cycle education through research projects aimed at developing and optimizing radionuclide therapy for prostate cancer and other
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of software infrastructure to optimize data workflows Developing analytical methods to integrate different types of sequencing-based DNA data. Developing computational models for prognosis and treatment