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funded through the EU Research Framework Programme? Other EU programme Reference Number Project No. 16468, Operation Code LISBOA2030-FEDER-00763900 Is the Job related to staff position within a Research
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validate a comprehensive genetic panel for the molecular diagnosis of pituitary diseases. Using next-generation sequencing (NGS) technologies and a bioinformatics algorithm, the panel will identify genetic
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validate a comprehensive genetic panel for the molecular diagnosis of pituitary diseases. Using next-generation sequencing (NGS) technologies and a bioinformatics algorithm, the panel will identify genetic
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of bioinformatics tools, analysis of high-throughput sequencing data, and an interest in the field of ancient DNA (please provide details in the motivation letter and curriculum vitae). Workplan and objectives to be
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the following conditions: Scientific Area: Bioinformatics Recipient category: The open position is intended for candidates holding a master’s degree who, on the date of their hiring, prove their enrolment in one
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of academic qualifications completed by the application deadline, including those resulting from academic degree recognition processes. Preferential factors: Experience in antifungal assays, including
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2030 3. Admission Requirements: Doctor Degree in Biochemistry 4. Other Requirements: Prior experience in Nuclear Magnetic Resonance (NMR) spectroscopy, including independent operation and contribution
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Procedure (CPA), approved by Decree-Law No. 4/2015 of 7 January; and Statute of the Research Fellow (EBI), approved by Law No. 40/2004 of 18 August, in its current version published by Decree-Law No. 123/2019
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the following conditions: Scientific Area: Environmental Science. Admission Requirements: Master degree in Marine Sciences, Physical Oceanography, or other relevant fields; Knowledge of hydrodynamic processes in
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fellowship within the framework of the project “RAICC - Responsible AI Call Center”, with nr. 25476 and operation code at the Funds Platform (Balcão dos Fundos) COMPETE2030-FEDER-03033600, co-financed by