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econometric models. 2. Analytical skills: • Ability to analyze and interpret complex data, identify trends and formulate recommendations based on analysis. 3. Communication skills: • Excellent written and
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operations. Applications should include a curriculum vitae, a list of publications, a description of research interests (2 pages), and three letters of recommendation. Complete applications will be considered
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: Curriculum Vitae (CV); Academic transcripts ; A detailed letter of motivation outlining research interests and career goals; 2 recommendation letters; Applications to be reviewed on a rolling basis
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information, guidance on required procedures, access to the International Welcome Desk, family recommendations, and support in finding accommodation Selection process Deadline to apply: 03-03-2026 How We Hire
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methods Recommending proposals for new maximum residue limits for pesticide residues in food Participation in research and advisory projects related to intake calculations of cumulative exposure to, among
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One representative published work (pre-prints are eligible). Recommendation letter from previous supervisor/mentor. Once your application has been successfully submitted, you will receive an automatic
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carried out in accordance with the Statute of the University of Warsaw, the recommendations of the European Charter for Researchers , the Code of Conduct for the Recruitment of Researchers , Order No. 27
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engagement through scientific reporting and strategic recommendations. V. Composition of the Jury In accordance to article 13 of the RCD, the members of the jury are: President – Cristina Cruz; 1st Member of
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master's thesis and any other publications (if available). Curriculum vitae of three pages maximum. Two written recommendation letters (e.g. one by the former Master thesis supervisor and their referees
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electronically. NO paper submission is needed. Applications must include the following: a cover letter, a complete vita, three letters of recommendation, a research statement and a teaching statement. At least one