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Field
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reinforcement learning. Work Plan The research plan aims to develop a robotic system capable of autonomously searching for objects in partially known indoor environments. The work will explore methods that allow
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to computational integration within the YEASTRACT+ database Duration: 9 months Objectives From the experimental standpoint of the work plan, research will focus on the characterization of new transcriptional
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not be invited for the interview. In the interview (40%) topics related with the work plan, experience and the candidate’s CV will be discussed with the invited candidates. Candidates should demonstrate
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of Research Grants of NOVA.id.FCT – Association for Innovation and Development of FCT; Regulation of Research Grants of the Foundation for Science and Technology, I.P. in force. (https://www.fct.pt/apoios
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 11 days ago
(ERDF/FEDER) through COMPETE 2030 – Innovation and Digital Transition Program, at the Research Unit - CIIMAR - Interdisciplinary Research Center Marine and Environmental, under the following conditions
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to candidates with: Experience in the areas indicated above; Scientific publications in the field; Experience in molecular biology and nucleic acid manipulation; Professional rigour and good teamwork skills
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to the skills necessary to develop the work plan (proven experience through portfolio and other documents in the appropriate tools, languages and technologies and referred to in the admission requirements
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slag for the construction of housing and structures by 3D printing”, co-financed by the European Regional Development Fund (ERDF), through Research and Development Incentives, under the Innovation and
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Funding of R&D Units 2025–2029 of the Centre for Research and Innovation in Education – INED, Coimbra Branch, reference UID/5198/2025, of the Polytechnic Institute of Coimbra, funded by the Foundation
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ranked on a scale of 1 to 20 points ,the four best ranked candidates in the curricular evaluation, will be interviewed 30% (up to 5 points). In the interview topics related with the work plan, experience