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at the time of hiring)2. 3. Preferred requirements: a) Proven experience in graphic production, editorial projects, and web design; b) Availability to start work in March 2026, as mentioned in the application
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, on an exclusive basis, has a duration of 12 months. Monthly Maintenance Allowance: 1090,98 euros. The payment will be made by bank transfer monthly, to the account to be designated by the Fellow. To this amount is
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enrolled in a master's degree program in the area of agricultural sciences or related fields. - The candidate must have academic training and professional experience appropriate to the objectives
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S2AQUA – Collaborative Laboratory, Association for a Sustainable and Smart Aquaculture | Portugal | 9 days ago
the Algarve 2030 and COMPETE 2030 Operational Programs, under the Portugal 2030 framework. 1. The Work Plan: The programme of activities for the research fellow to be hired includes, but is not limited
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education Level and research experience The candidates must have: Master degree in Physics or Physics Engineering, Demonstrated experience in inverse design of metasurfaces and optical characterization
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with code C19-i08 called “Smart Territories - AMA” of the Recovery and Resilience Plan (PRR) of component C19 - Public Administration - Digitalization, Interoperability and Cybersecurity, of the PRR
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, Biotechnology or related fields. Priority will be given to candidates from the field of Biophysics and Structural Biology and to those with research experience in the specific scientific area of the work plan
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) 1st – Proven experience with laboratory animals; animal experimentation course; 2nd – Proficiency in English (written and spoken); 3rd – Bachelor’s and Master’s degrees in the fields of Biology
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Geochemistry, Biochemistry, Archaeology or related field. Experience with EA-IRMS, analysis of carbon and nitrogen isotopes and sample preparation will be a plus. Experience with medieval zooarchaeology will be
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letter. 55%: Hands-on experience in electronic system design and prototyping, and 3D CAD design. 35%: Academic grades. Each member of the evaluation panel assigns a classification to each of the candidates