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23 Jan 2026 Job Information Organisation/Company Technical university of Liberec Research Field Physics » Other Chemistry » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc
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is extremely power consuming. The aim of the PhD is therefore to conceive, based on in-house quantum transport codes, hybrid cooling devices, exploiting both electronic and phononic transport
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DTU Tenure Track Researcher on Nanoreactors for Operando Visualizations of Nanoparticle Catalysis...
Would you thrive in a world-class team addressing grand challenges in catalysis science? A research position is now open for experimental research in advanced nanoreactors and operando electron
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Postdoc Positions Application Deadline 2 Feb 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Mar 2026 Is the job funded
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Europeia ID - Association for Research in Design, Marketing and Communication | Portugal | 6 days ago
(https://www.unidcom-iade.pt/centre/ ), experience in competitive R&D projects, and the ability to work in multidisciplinary teams. Fluent command of the English language, both spoken and written, is
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researchers worldwide. By joining us, you will be part of a vibrant community of more than 60 researchers including faculty members, postdocs and PhDs working on diverse topics in the field of dynamical systems
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geophysical approaches), and basic computer programming skills (e.g. MATLAB or Python) are meritorious. Other important skills include the ability to work independently, take initiative, and explore new
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usage of radio science data is a plus. Experience in the usage and development of Tudat is a strong plus. Experience in usage and development of Tudat or a similar tool is required. Ability to work in a
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, training and collaboration of PhDs and postdocs in the Netherlands as part of their career development as transdisciplinary microplastics researchers. Where to apply Website https://www.academictransfer.com
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-design. Experience with hardware acceleration (FPGAs, GPUs, SoCs) and low-power design. Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow) is a plus. Ability to work in an