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of processing and analyzing high-throughput genomic data, spatial data (e.g., SDM), and/or big data (i.e., on an HPC cluster). Experience of working in a team. Willingness to mentor undergraduate students
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advanced biostatistics Computer proficiency, including use of statistical software for spatial analyses, such as ArcGIS, QGIS, R, Google Earth Engine Experience assembling, organizing, and analysing large
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satisfactory performance. Preferred Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology, agroecology, data science/data management) is required
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(MLIP). These datasets will include defect energetics, helium–defect interactions, binding energies, and clustering mechanisms. The researcher will support large-scale molecular dynamics simulations by
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development with a background in big data applications in biotechnology, process development or food technology; Quantitative scientific skills in physical chemistry/biochemistry/formulation to enable deeper
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you will develop advanced computational methods for the analysis of large-scale multimodal cardiovascular data, including electrocardiograms, cardiac device recordings, wearable sensor data, clinical
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of completed PhD Applications must be received by: 2026-09-09 Information for International Applicants Choosing a career in a foreign country is a big step. Thus, to give you a general idea of what we and
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forms the Wageningen Soil Cluster, which has an excellent international reputation in soil science. Where to apply Website https://www.academictransfer.com/en/jobs/363515/junior-researcher-data-collecti
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vacancy for a postdoctoral researcher in Data Science and Artificial Intelligence. In this position you will develop advanced computational methods for the analysis of large-scale multimodal cardiovascular
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Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA) | Spain | about 2 months ago
will begin from June 2026. Education and Background PhD degree in a relevant quantitative discipline such as Bioinformatics, Statistics, Mathematics, Data Engineering, or Biomedical Engineering