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laboratory experience in classical microbiology techniques (preparation of culture media, isolation and identification of microorganisms, aseptic technique); b) Knowledge of molecular biology techniques
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. Preferably, the candidates should also have professional or academic experience in: Hydrology, hydraulics, and/or hydroinformatics. Containers (e.g., Docker, Singularity/Apptainer, Python Virtual Environment
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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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fields. 2.3 – Preferential factors: Preference is given to applicants who have experience and skills in: Calculation and interpretation of environmental metrics and indicators; Application of the Life
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. The project is funded by the European Regional Development Fund (FEDER) through incentives for Research, Development and Innovation, under the NORTE 2030 Regional Programme (NORTE2030). Reference: BI/UTAD/31
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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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on the analysis of pollen DNA and volatile compounds with a view to the characterization and valorization of Portuguese honeys”, with funding from the “National Plan for Support to the Apiculture Sector (PNASA 2023
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ASSOCIACAO ISCTE CONHECIMENTO E INOVACAO - CENTRO DE VALORIZACAO E TRANSFERENCIA DE TECNOLOGIAS | Portugal | about 2 months 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