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assays of proteins from bioluminescent systems. Candidates should have proven experience in molecular biology, heterologous protein expression and purification, enzymatic assays, and familiarity with
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obtained no more than 3 years prior (at the time of submitting the documentation); - Scientific publications and/or patent applications. Specific skills: - Experience in microbial cultivation in stirred-tank
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experience in molecular biology is required, especially in techniques such as DNA/RNA extraction, PCR and genomic analysis, as well as experience in data analysis using bioinformatics tools. Knowledge of next
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collaboration with physicians from Hospital das Clínicas (HC), the hospital complex run by the University of São Paulo's Medical School (FMUSP). Candidates must have previous experience in molecular microbiology
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The fellow must implement and monitor post-fire recovery projects in Cerrado grasslands, analyse the data, and produce publications related to these experiments. We are looking for a highly motivated
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/Electronic/Industrial Engineering (obtained less than seven years ago); • Academic or professional experience in areas related to knowledge representation, such as Ontologies or Metadata and Python programming
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Transformers, to classify and analyze these celestial bodies. The candidate should have a solid background in dynamic astronomy and extensive experience in astronomical data manipulation and analysis. Knowledge
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, Microbiology, Molecular Biology, or related fields; • Proven experience in PCR techniques; • Leadership and team supervision skills; • Experience in scientific writing and data analysis. Benefits: • FAPESP Post
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and Environment (IEE-USP). Requirements: 1. Proven experience in statistical analysis (regression and cluster analysis); 2. Previous research on aging and sleep; 3. Background in Social Sciences in
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Biochemistry, Structural Biology, or related fields, with experience in membrane protein expression and purification. NMR or EM experience is not required. Applications (motivation letter, one recommendation