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cell fate specification. The project will focus primarily on the analysis and comparison of single-cell RNA-seq datasets from different animal groups, including multi-omics and spatial transcriptomics
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project position as Research Associate / PhD Student (m/f/x) within the MSCA Doctoral Network SLICE (due to funding, the salary is calculated according to MSCA regulation) starting October 1, 2026
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, or closely related discipline. - Expertise in data management, spatial analysis, GIS, and R/Stata programming methods. - Experience working in a team and under a deadline. - Strong written and interpersonal
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, foster transit-oriented development, and encourage single occupancy vehicle drivers to switch to greener modes of transport. The anticipated research methods will comprise data collection and analysis
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workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis
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California State University, San Bernardino | San Bernardino, California | United States | about 8 hours ago
course content: Advanced Epidemiology, Advanced Biostatistics, Research Methods, Program Planning and Evaluation, Infectious and Chronic Disease Epidemiology, Spatial Epidemiology, Advanced Topics in
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an interdisciplinary team with three professors and two postdoctoral researchers, specialized in spatial planning, (active) mobility, and futures research. You will also work closely with another PhD student
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systems, GHG emissions, waste and/or sludge management from SMEs/SMEs.• Experience with Python for data analysis, model automation and spatial/environmental processing.• Previous experience in research
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University, University of British Columbia, Université du Québec à Trois-Rivières, and Yukon University, supported by the Canada First Research Excellence Fund. More information on: https://www.uvic.ca/acet
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of ASICs dedicated to the readout of AC-LGAD (Alternating Current coupled Low-Gain Avalanche Diode) sensors, capable of very good timing (~30 ps) and spatial (~20 um) resolutions, which will be exploited by