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national funds under the Concurso de Projetos Exploratórios em Todos os Domínios Científicos 2023, under the following conditions: Scientific Area: Bioinformatics Admission requirements: Candidates must meet
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national funds under the Call for Exploratory Projects in All Scientific Domains 2023, under the following conditions: Scientific Area: Bioinformatics Admission requirements: Candidates must meet the
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antigens. Work Plan Phases Antigen discovery and validation (Months 1–6): Bioinformatic screening (e.g., TCGA, CPTAC), RT-qPCR, Western blot, immunocytochemistry. Conjugate synthesis (Months 4–12
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Requirements: a)Holders of a Bachelor’s degree in Biomedical Sciences, Medicine, Pharmacy, or related areas. b) Desirable skills: 1. Knowledge of biomedicine and bioinformatics; 2. Practical and theoretical
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Tecnologia I.P. (FCT), as intermediary beneficiary, under the following conditions: Scientific Area: Artificial Intelligence Admission requirements: a) Bachelor degree in Bioinformatics - information available
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, PLFA, environmental DNA); - Study of PHA-degrading enzyme activity in soils; - Bioinformatics applied to the analysis of bacterial genomes; - Support in the supervision of students and collaboration in
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levels, and bioinformatics tools will be valued. I.II - The non-degree-granting course must be related to the type of activity covered by the grant. Non-degree-granting courses are defined as those
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NOVA Institute for Medical Systems Biology (NIMSB) announces Four Independent Group Leader positions
stateless candidates are eligible to apply. Applicants must hold a PhD degree in natural sciences, medicine, bioinformatics, mathematical or computer sciences, or other scientific fields related to the scope
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IBAN/NIB; proof of enrolment in Master in Environmental Sciences, Biology, Marine Biology, Microbiology, Bioinformatics or related fields or proof of non-degree course; Proof document or statement duly
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) and nuclear magnetic resonance (NMR) spectroscopy; c) Experience with bioinformatics tools applied to metabolomics data; d) Experience in biomarker research for diseases; e) Participation in research