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3 Aug 2026 Job Information Organisation/Company INAF-Osservatorio Astronomico di Trieste Research Field Astronomy » Cosmology Researcher Profile First Stage Researcher (R1) Positions Postdoc
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, database, computer graphics, distributed systems, computer vision, video analytics Emerging Fields: IIoT, computational fintech, robot-human interaction, Trustworthy AI, Explainable AI, Large Language Models
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. Experience with high-performance computing clusters or cloud-based Earth observation platforms (e.g., GEE Python API). Experience with airborne lidar data processing and canopy height modelling. We will place
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biology, phylogenetic analysis, computational biology or bioinformatics — 20%; – Experience in genomic data analysis, working on a server/computing cluster and managing large datasets — 20%; – Match between
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD position in Data Science/Bioinformatics for Marine and
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. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 08/31/2026 Prae Doc https://jobs.univie.ac.at/job-invite/6029
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University of Gothenburg/Department of Biological and Environmental Science | Sweden | about 2 months ago
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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(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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, forecast, and crowd-sourced station data into probabilistic maps. The challenge: conditioning generative models on large, heterogeneous, incomplete data will require the student to work on cutting-edge ML
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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