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Field
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/deep learning and image processing/tomography advanced programming skills in Python excellent command of English (written and spoken) Assets: team-oriented mindset with strong communication and
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environmental geophysics. This PhD project aims to advance the process-based understanding of SSF by combining state-of-the-art geophysical methods with controlled field experiments and numerical modeling
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post-mortem human brain tissue and map these states in relation to disease pathology in AD tissue. In parallel, immune responses will be modeled in human stem cell–derived systems to identify regulatory
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experience with work related to computer systems administration and thedevelopment of solutions in parallel processing, information systems, computer networks, cluster and cloud computing,among others.3
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related to computer systems administration and thedevelopment of solutions in parallel processing, information systems, computer networks, cluster and cloud computing,among others.3- Candidates must have
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27 Jan 2026 Job Information Organisation/Company University of Siegen Department Embedded Systems Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher
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with local cellular and molecular processes. The successful candidate will develop a multidisciplinary research program combining in vivo and in vitro approaches. Experimental work will involve advanced
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defined, together with a preliminary optimisation pipeline using Machine Learning and AI techniques. In parallel, the experimental protocol for bilateral vocoded tests will be established and pilot
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at the earliest on 1st August, 2026. The position is funded by the Marie Skłodowska-Curie Doctoral Network (MSCA-DN), on “Understanding Lipid ImmunoMetabolism to treat disease” (UNLIMITED) within the Horizon Europe
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, contributing to the coordination, monitoring, and implementation of actions aligned with the sustainability and innovation goals of the natural stone sector Contest Procedure Applications must be exclusively