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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | about 24 hours ago
to scientific publications. Maintaining accurate documentation and active participation in the research team and doctoral school programme will also be required. Where to apply Website https
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engineering Computer science -> Cybernetics Positions: PhD postion Type of contract: Temporary Job status: Full-time Hours per week: 40 How to apply: https://www.fei.vsb.cz/en/applicant/doctoral-study/ Select
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/11250664 https://www.jmlr.org/papers/v26/25-1161.html Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in engineering, computer science, or related disciplines (typically
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of Arts and Science can be found at: https://artsci.tamu.edu/index.html . Qualifications Required Qualifications Master's level degree in French by the start date and significant teaching at the college
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15 Apr 2026 Job Information Organisation/Company Graz University of Technology Department Institute of High Voltage Engineering and System Performance Research Field Engineering Computer science
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in the field of biochemistry or molecular biology and obtained a doctorate (PhD) in the scientific field of biomedicine and health or natural sciences - field of chemistry, published scientific papers
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interested in “More Information” and then “PhD Programme Table”) Where to apply Website https://studenti.unibo.it/sol/welcome.htm Requirements Additional Information Eligibility criteria Eligible destination
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PhD studentship in Computational Physics and Chemistry, University College London, UK A 4-year PhD studentships is available to work under the supervision of Prof Jochen Blumberger at the Condensed
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The research fellow will focus on foundation model-based world model development for embodied intelligence, and
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that consolidate research findings Job Requirements: PhD qualification degree in Materials Science and Engineering or related field Familiarity with computational materials science and macrostructure analysis Good