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://chiralnanomat.eu/ we offer two PhD positions: DC9 - Bio-Functionalized Chiral Nanocluster Modelling via Machine-Learning Methods DC10 - Predictive Modelling and Rational Design of Asymmetric Catalysis by Chiral
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close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective
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grasslands and evaluation of land-use intensity, Expertise in classification with machine-learning methods, statistics, spatial analysis and land-use modeling, Experience and interest in conducting fieldwork
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that address local, regional and statewide programming priorities utilizing a variety of teaching methods, including formal and informal workshops, seminars, social and mass media consistent with identified
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, researchers, postdoc and PhD candidates about the administrative steps to be undertaken prior to arrival at AMU and the various practical formalities to be completed once in France: visas and entry requirements
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, I.P. in the country (https://www.fct.pt/apoios/bolsas/valores ). The period of payment of the scholarship is monthly and through bank deposit, check or another equivalent method. Selection Methods
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. The department conducts undergraduate education and research in political science and peace and conflict studies. For more information, see https://www.umu.se/en/department-of-political-science/ . General
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(R2) Positions PhD Positions Application Deadline 7 Apr 2026 - 00:00 (Europe/Zagreb) Country Croatia Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework
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Sciences Admission requirements: Master's or PhD students in Social Sciences/Agricultural Sciences or similar areas, or masters in the scientific area of Social Sciences/Agricultural Sciences or similar
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-based methods in computer science The selected candidate has a strong scientific curiosity Good programming skills are required Proficiency in English is required. We offer a fully-funded PhD position