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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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- Lisbon). 12.2. The candidates must be formalized using the online application submission system available on https://www.apply.up.pt ; (Ref.ª BOLS-FPCEUP-26-4). 12.3. The application must be
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at the APPLY webpage: https://app.apply.up.pt , Ref.ª BOLS-ICBAS-26-1. 11.3. The application must be supported by documents proving compliance with the conditions set out in this Notice, namely: a
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website: https://www.apply.up.pt ; (Ref. BOLS-FLUP-26-5). 11.3. The application must be accompanied by documents proving the conditions set out in this Notice, namely: Candidate's curriculum vitae
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of applications: 11.1. Applications must be submitted by 30th of march 2026 (local time – Lisbon). 11.2. Applications must be formalized through the online submission system available on the APPLY webpage: https
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2026 (Lisbon time). 11.2 Applications must be submitted through the online application system available on the APPLY website: https://www.apply.up.pt ; (Ref. BOLS-FADEUP-26-2). 11.3
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deadline: 11.1. The call for applications is open until March 18th, 2026. 11.2. Applications must be submitted exclusively at the APPLY platform: https://www.apply.up.pt (no. BOLS-FPCEUP-26-5). 11.3
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submission system, available on the APPLY website: https://www.apply.up.pt/ ;BOLS-FLUP-26-3 11.3. The application is accompanied by the documents proving the conditions set out in this Notice, namely
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available on the APPLY website: https://app.apply.up.pt Ref. BOLS-FBAUP-26-1. 11.3. The application must be accompanied by documents proving the conditions set out in this Notice, namely: a) Curriculum