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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 14 hours ago
Internal Number: 25639 ACADEMIC PROGRAMS SPECIALIST 2, Biology, manages the operations and administration of two interdepartmental PhD programs--Microbiology and Computational and Systems Biology (CSB
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resources and understanding how nanoscale structures and modifications can control the formation of spherical photonic materials and their optical properties? This PhD position may be for you! In this project
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Lars Åke Andersen 24th May 2026 Languages English Norsk Bokmål English English Faculty of Health Sciences/Department of Pharmacy PhD Fellow in Pharmacy Practice Apply for this job See advertisement
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to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . Where to apply Website https://www.academictransfer.com/en/jobs/360007/phd-position
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courses in one or more areas such as digital painting and drawing, character design and animation, virtual environment design, interactive media, 3D modelling and animation, digital assets construction
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of ion conductivity in complex battery materials on a large scale. Model‑generated data will be used to identify key relationships between material structure and ionic conductivity through advanced data
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2 Apr 2026 Job Information Organisation/Company South East Technological University Research Field Biological sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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efficient operation. In this PhD project, you will design and develop integrated photonic terahertz sensors for Electron Cyclotron Emission (ECE) measurements in fusion reactors. These sensors will enable
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environmental applications. Objectives : This PhD thesis seeks to reveal fundamental surface structure-property relationships by bridging state-of-the-art experiments with predictive computational methods