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University professorship (m/f/d) in 'AI in Occupational, Social and Preventive Medicine' (salary gra
(DZNE) and German Center for Child and Adolescent Health (DZKJ). The UMG is closely networking on the Göttingen Campus with the natural and life sciences institutions of the university as well as the non
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, these models often use simplified, linearized assumptions, limiting their capacity to capture the nonlinear complexities inherent in real-world hydrological processes. Recently, there has also been the branch
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that exhibit emergent turbulent behaviors, and (2) disordered optical media that process information through complex light scattering patterns. Using advanced imaging, machine learning techniques, and real-time
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at the IMPRS-LM aim to dissect the spatial and temporal organization of biochemical networks in the cellular environment. The IMPRS-LM provides a unique graduate training program that equips students with
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the complexity of power systems. In particular, the dynamic stability (in the time-frame of milliseconds to seconds) of such systems is a growing concern, as such converter-dominated systems have lower rotational
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few kilometers using new computer science methods, particularly machine learning. This involves the analysis of very complex spatiotemporal phenomena, especially so-called submesoscale processes
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candidate of the Graduate School LSM, you will be part of a vibrant, diverse, active, and truly international research community. We value interdisciplinarity, as it allows you to expand your research network
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years of professional experience Experience in programming (Python, Linux-Shell, git) and Linux system administration Several years of professional experience with network or server infrastructures. HPC
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. The position is within the Math+ project "Information Flow & Emergent Behaviour in Complex Networks“. Here, we intend to investigate how structural properties of complex networks influence information and
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(NGS) technologies, including single-cell sequencing, to interrogate transcriptional networks. A central focus of your work will be the systematic analysis and interpretation of multi-omic datasets