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20 Apr 2026 Job Information Organisation/Company LISER Department Urban Development and Mobility Research Field All Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application
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qualities You have a PhD in a computational field such as Artificial Intelligence, Computer Science or Software Engineering for Artificial Intelligence. You have a strong technical background in
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, tissue sections, RNA/DNA, tabular data) for predictive modelling using software such as Python Documented experience of neural networks, image processing, deep learning algorithms, and data visualization
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operations, and contributing to proposal writing for external funding. Primary Accountabilities: 1. Data Analysis & Interpretation — Perform rigorous analysis of experimental data using relevant software
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engage diverse audiences in new responses to climate change and sustainability. Applications are invited from candidates with a relevant PhD qualification and research experience on the social aspects
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engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 10 May 2026 - 00:00 (Europe/Brussels) Country Poland Type of Contract Temporary Job Status Full-time Hours
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prior to its start Conduct data collection, data processing, and data analysis in collaboration with internal and external partners Provide practical supervision to bachelor’s and master’s students
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
of fellowship, continuously or with interruptions, within the technological and scientific system, and that the research work that led to the PhD degree was carried out in a different entity from the host
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. This full-time position offers a unique opportunity to contribute to high-impact research in drones, AI, and human-computer interaction. Successful candidates will join a dynamic and inspiring international
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, MICADO and METIS. Our group develops and maintains custom-written software that will simulate, process, validate, and store data from some of the most advanced astronomical instruments ever to be built