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interactions at both local and larger spatial scales. The PhD position is in a project which will support effective strategic planning for coastal marine restoration by developing key performance indicators
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through the development of cutting-edge advanced microscopy techniques. Its main focus lies in interdisciplinary research at the intersection of photonics and biology. Main Tasks and Responsibilities Design
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communicate your findings through your PhD thesis, presentations at (inter)national conferences and via broader outreach. Where to apply Website https://www.academictransfer.com/en/jobs/363554/phd-position
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energy-harvesting devices. The successful candidate will focus on ionic thermoelectric materials and electrochemistry, developing and investigating advanced electrolyte and redox-active material systems
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of 20 per cent of full-time. Your work will include: Development and characterization of soft MIEC materials. Development and characterization of functional separator materials. Investigation
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call for applications is open for a Research Grant within the scope of the project “Compete 2030 - FEDER - 03260800 - CEM 4.0”, funded by the “European Regional Development Fund (ERDF), Portugal 2030”, under
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Regulation of Research Grants of the University of Porto. Work place: The work will be developed at the Department of Chemical and Biological Engineering of the Faculty of Engineering of the University
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7 Sep 2026 Job Information Organisation/Company Institute of Physical Chemistry, Polish Academy of Sciences Department Team 02, Living materials, https://www.livingmaterials.org/ Research Field
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Infrastructure? No Offer Description The AITAX project aims to address the complexity and dynamics of modern tax regulations by developing a cutting-edge AI solution for automating the analysis and processing
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 8 hours ago
/or life sciences to solve pressing biomedical needs and translate your findings to impact medical practice and improve healthcare? Are you excited to develop and apply cutting-edge machine learning