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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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Mathematical Sciences has about 200 employees and is the largest department of mathematics in Sweden. The department has three scientific divisions: Algebra and Geometry, Analysis and Probability Theory, and
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expertise in biostatistics and spatial data analysis. - Expertise in machine learning. - Advanced expertise in signal processing (accelerometric/gyroscopic and acoustic). - Experience writing scientific
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applications for a Doctoral student position in applied mathematics and machine learning for urban 3D reconstruction, within the Digital Twin Cities Centre (DTCC). The project aims to create analysis‑ready
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. The investigation of the temporal and spatial distribution of the exhaust gases in the atmospheric layers after the launch vehicle has passed through is therefore crucial for drawing conclusions about their climatic
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Applications are invited for a position as postdoc in Computational Biology in the laboratory of DNRF Chair and Novo Nordisk Faculty Professor Vijay Tiwari (https://www.tiwarilab.org
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 21 days ago
or related fields; – Be enrolled in a master's degree or integrated master's degree in Geography or related fields; – Have experience in the use of GIS and Spatial Modeling; – Immediate availability
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reconsolidation of memory are studied. Within this frame, the FAM has recently identified new spatial and non-spatial subnetworks segregated along the proximodistal axis of the hippocampus (Nakamura et al, J
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of patterns from drillhole data. Drillhole loggings, elemental concentration assays, and mineralogical data derived from techniques such as Mineral Liberation Analysis (MLA) or hyperspectral core scanning
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on integrated analysis of omics data, including RNA sequencing, spatial proteomics, digital pathology, and gene expression profiles, from various cohorts of patients with ovarian tumors. The work aims