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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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to provide the supporting documents by the grant contracting stage. 3. Preferential Factors Proven experience with decision support systems based on knowledge bases and machine learning. 4. Work Plan The work
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address topics related to the work plan, as well as the candidate’s experience and CV. If none of the candidates achieves a minimum final score of 17 points, the research grant will not be awarded
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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
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requirements: Experience using deep-learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating on scientific projects. Publications on deep-learning topics. 4. Work Plan
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be duly proven at the time of hiring. 2; 3. Preferred requirements: Experience using Machine Learning algorithms. In-depth knowledge of Python and PyTorch. Previous experience collaborating
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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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enrolled in a non-degree awarding course, within the scope of the NEURASPACE Project, funded by the Recovery and Resilience Plan – Agendas for Business Innovation, under AAC No. 02/C05-i01/2022, reference
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ASSOCIACAO ISCTE CONHECIMENTO E INOVACAO - CENTRO DE VALORIZACAO E TRANSFERENCIA DE TECNOLOGIAS | Portugal | 10 days ago
Infrastructure? No Offer Description The Centre for Research and Studies in Sociology (CIES-Iscte) at Iscte – Knowledge and Innovation is offering one (1) Research Grant for a PhD Student in the scope
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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