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and Artificial Intelligence. Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/137704 Requirements Specific Requirements Candidate profile Applicants should hold a PhD in
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9 Apr 2026 Job Information Organisation/Company IMEC Research Field Computer science Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions
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sustainability and climate curriculums and educational resources. Candidate Profile • A PhD in environmental engineering, computer science, data science or similar • Highly motivated, detail orientated and
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. Applications are invited from candidates with a relevant PhD qualification and research experience on the social aspects of climate change and sustainability research and education. Achievement of the expected
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Austrian Academy of Sciences, the Austrian Archaeological Institute OeAI | Austria | about 2 months ago
Researcher (R1) Positions PhD Positions Application Deadline 31 Mar 2026 - 23:55 (Europe/Brussels) Country Austria Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research
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responsibilities, including: Mapping policy architectures and debates. The project will document the existing policy architecture (policies, laws, regulations, statutes, codes, standards) for GGR and SRM within
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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
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. The work will be primarily computational, focusing on the development of deep neural network model architectures and their training. It will involve extending the preliminary results we have already obtained
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and only 70 km away from Marrakesh. Thanks to its prestigious architectural landscape and modern equipment, the UM6P offers premium conditions for a desirable lifestyle. Position Title: Postdoctoral
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in building software systems beyond scripting (e.g., API design, modular architectures, version control). Familiarity with omics data analysis (transcriptomics, proteomics, or related), including