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to 3 pages); Up to date CV; Links to profiles on scientific platforms: (i) Google Scholar; (ii) ResearchID; (iii) ORCID; (iv) Scopus; (v) CV Lattes (if you have one); One to three letters
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Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS) | Poland | about 2 months ago
for the post-doc position: 1. Doctoral degree in animal, biological or related sciences. 2. Scientific achievements including original scientific works. 3. Experience in managing research projects funded by
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to establish structure-property relationships and advance the understanding of emergent quantum phenomena. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years
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, Stage III - interview with selected candidates, during which the candidate will be required to give a short presentation on their previous achievements and career plans, followed by a Q&A session with
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per annum. This is inclusive of a pensionable Oxford University Weighting of £1,730 per year. This is a full time (100% FTE), fixed term position for 3 years. The University of Oxford is a stimulating
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engineering, chemical engineering, or a related field completed within the last five years Quantitative and analytical research background which can be applied to conduct research analysis on advanced
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the following criteria: Maximum scoring: 5 points. Threshold: 3 points. The maximum score will be distributed according the following criteria: 2 points for adequacy to functional competences of the job. 2 points
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scale-up of the reactor. Post-Doctoral position #2 – Catalysis for Hydroprocessing and Renewable Fuel Production: Develop catalysts for the production of renewable fuels. Post-Doctoral position #3
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Application deadline: 27. August 2026. The postdoc position is for 5 years and it is based in the Schulenburg group (https://evoecogen-kiel.de/ ). The research is part of the ERC project on CrypticBenefits and
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or more of the following areas: (1) Generative AI and machine learning, (2) affective computing, (3) human-computer interaction or collaborative AI, and (4) interaction design, experimental design or