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1 Sep 2026 Job Information Organisation/Company Fundación IMDEA Nanociencia Department USQM grupo Research Field Physics » Optics Chemistry » Other Researcher Profile First Stage Researcher (R1
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large number of data sets across many data modalities as well as large user audiences and collaborators who are leading experts in their biomedical domains. We are also working with many individual
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, computer science, or a related field Strong analytical, quantitative, and coding skills (particularly in Python) Experience handling and analysing large-scale biological datasets Track record of writing papers as
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across the project, with a particular focus on Work Package 3, which explores how social networks and schooling shape individual outlooks. This work will involve analysing large-scale social network data
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limits of Symbolic Regression (SR). SR is an emerging area of artificial intelligence that discovers interpretable mathematical relationships directly from data. You will lead the algorithmic and
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. Experience in one or more of the following is highly desirable: Operating high-resolution mass spectrometry platforms (e.g. Orbitrap, AP-MALDI) Handling and analysing large-scale metabolomics datasets Data
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communication technologies is driving the progression of modern AI. However, current efforts are predominantly concentrated on Large Language Models (LLMs) tailored for industrial applications, leaving AI
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Vegetables / Seed Innovation Hub. The work would include: Large-scale Global Germplasm Evaluation and Assessment, Key Deep Phenotypic Definition and Evaluation, including molecular, cell culture-based and
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. Experience with High-Performance Computing (HPC) clusters, geospatial foundation models, large-scale geospatial processing or cloud-based Earth Observation platforms would be advantageous. You will be a highly
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develop statistical, mathematical, causal-inference, simulation, and machine-learning methods using large-scale flight trajectory and operational datasets. Research may cover airport surface congestion