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data. High proficiency in R or comparable programming languages is required, and experience with statistical modeling, geographic information systems (GIS), and handling large spatial datasets is
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, atmospheric forcing, and human activities. Measuring and modelling this complex ecosystem is particularly challenging because of its high spatial and temporal variability, which requires dedicated and adaptive
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analysis, and spatial -omics. An ability to learn new skills, take initiative, attention to detail, and conceptualize data is essential. More details of the Foltz lab can be found here: https://jfoltzlab.org
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-of-the-art in vivo perturbational technologies and advanced computational modelling to solve fascinating biomedical puzzles. This interdisciplinary atmosphere has been a main catalyst for many past successes
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focus on agent-based modeling and the quantitative analysis of spatial structures in experimental data. In doing so, you will develop your own research focus, support conceptual work, and contribute
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will explore both purely plasmonic and hybrid metal–semiconductor architectures to tailor electronic and thermal properties. The project combines numerical modeling and experimental nanophotonics
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. The relevant synaptic turnover and plasticity processes span spatial scales from the molecular up to the network level, and temporal scales from seconds to hours and beyond. The aim of this PhD project is to
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related to staff position within a Research Infrastructure? No Offer Description Your tasks: Development of methods for designing embedded systems based on large language models (LLMs) Investigation
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, reproduction, and development. They use cutting-edge single-cell, spatial, in vitro, and surgical approaches in multiple model species and in human organoids to investigate the uterine endometrium and maternal
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the physical and chemical processes that define the functional state of a cell. Our goal: To make 4D (space plus time) computational whole cell models of bacterial, yeast, and mammalian cells. We are working