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processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell
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20 Feb 2026 Job Information Organisation/Company Gdańsk University of Technology Department Faculty of Chemistry, Department of Process Engineering and Chemical Technology Research Field Technology
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processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell
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experience may be substituted for the educational requirement on a year-for-year basis. Computer software skills, including the ability to use office software, such as databases, spreadsheets, word processing
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leadership in digital research infrastructure or digital technologies, with a mandatory PhD or equivalent Extensive expertise across cloud computing, HPC, research data management, and cybersecurity A
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datasets generated by PIV and PLIF experiments to determine the effects of rotation on mixing efficiency and solute deposition. You will develop scripts for data processing and visualization, providing
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opportunities to improve existing practices and services. Excellent skills in information and communication technologies including; Microsoft Office, University software packages, web and email software and
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http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) Applications received after the deadline will not be considered. All interested
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communication - from long-haul transmission to datacenter interconnects - we tackle real-world challenges at every scale. We’re a collaborative research team, where PhD students and postdocs work alongside senior
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
: https://www.list.lu/ How will you contribute? You will be part of LIST’s Remote sensing and natural resources modelling group Embedded in the Environmental Sensing and Modelling (ENVISION) unit