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credits). Practical experience of experimental spectroscopy or diffraction techniques such as XAS, XRD, FTIR, and XPS, of molecular modeling (MD/MC, DFT), and familiarity with basic programming (Python
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bias, including previously detected structural variation on sex chromosomes, and analyze the evolutionary history of these regions within and across species. Overall, this project will provide novel
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disorders. This call comprises two PhD positions with complementary research focus, unified by the goal of enabling in situ electronic functionalization of living tissue, where biological structures and
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emphasis will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses
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(DDLS) use data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global
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temporal variation and cannot be adequately described by models that assume a uniform structure. The project aims to develop flexible models that allow key characteristics of the process, such as event
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structural conditions, and (3) inform policy and governance for responsible and ethical AI in home care in the Nordic–Baltic region. The project combines gerontology with critical social science perspectives
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and written. Good knowledge of data analysis and statistics, including experience working with large datasets. The ability, under supervision, to structure, process and analyse research data and to
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skills in at least one language commonly used in bioinformatics, such as Python or R. Strong analytical ability and a structured approach to problem solving. Proficiency in written and spoken English
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and purely data-driven methods, which often lack robustness, interpretability, and reliability in uncertain and noisy conditions. To overcome these challenges, the PhD will explore multimodal sensor