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, and to develop therapeutic avenues. The group is particularly interested in understanding how genomic information is used to direct cell-specific gene expression, and to pinpoint gene regulatory defects
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Rare Diseases. This faculty opening will be valid for an extensive period of time. For more information about SMART&PI, please visit our official website：https://smart.org.cn/. Qualifications A PhD
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the opportunity to collaborate with a large network of nanoscience and nanotechnology researchers worldwide and participate in the e-DREAM European microscopy network, which provides access to cutting
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, role of private equity and family offices. One of the options is to assist in ongoing projects leveraging large scale administrative datasets with employee-employer matched information. More broadly, it
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., big-data, AI, mobile-app data tracking); (iii) mixed-method designs (e.g., combining survey data with focus groups and qualitative interviews); • Experience in working with complex data, ideally complex
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6 Mar 2025 Job Information Organisation/Company Universitat Autònoma de Barcelona Department Research Management/Strategic Projects Research Field Geography » Human geography Sociology Researcher
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highly talented and motivated bioinformatician / computational biologist. The selected candidate will analyse large transcriptomics data (potentially multi-omics data) related to the mosquito auditory
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data cleaning may be required Support to PI in writing large scale proposals Support to Junior scientists in writing manuscripts Disseminating findings at conferences, workshops, and through the study
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, presentations at academic conferences, international stays, specialization courses at PhD level, contribution to software are valued. − Specific training and experience in statistical modelling: 10 − Computer
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Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM) | Spain | about 2 months ago
LevelPhD or equivalent Skills/Qualifications Solid demonstrable experience in: - Handling large volumes of data - Efficient programming in R or Python, particularly in data management and spatialization