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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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spatial transcriptomic data. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex
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datasets (bulk, single-cell, and spatial). Primary responsibilities include developing sequencing pipelines, maintaining project databases, designing validation experiments, and drafting manuscripts and
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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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Science, Global Change Science and/or Macroecology Experience in studying biodiversity patterns across spatial and temporal-scales from regional to global Experience in advanced statistical analyses
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satisfactory performance. Expected salary is $70,000/year plus benefits. Preferred Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology and modeling
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Biological sciences Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Oct 2026 - 23:59 (Europe/Brussels) Country Spain Type of Contract Temporary Job Status Full
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, Vegetation Science, Global Change Science and/or Macroecology Experience in studying biodiversity patterns across spatial and temporal-scales from regional to global Experience in advanced statistical analyses
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and damaging storms, and cascading risks such as bark-beetle outbreaks. Forest owners and regional authorities need spatially detailed, timely information on where climate stress is emerging, and which
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. See https://marie-sklodowska-curie-actions.ec.europa.eu/actions/doctoral-networks Candidates must meet the entry requirements for admission to the PhD-program of the institution to which they apply, see