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Field
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experience in genomic analyses, proteomic approaches, imaging analysis, iPS differentiation and bioinformatics would be especially welcome. The post available as a fixed-term contract for 2 years in the first
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tissue from patients undergoing immunotherapy. These analyses generate large amounts of data that require processing by experts with the right skills in bioinformatics and molecular biology. The research
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imaging. A successful postdoctoral candidate should have a Ph.D. in the relevant field with a strong background in LC-MS/MS. Some bioinformatics expertise is preferred but not required. More details about
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of extension up to three years depending on performance. This position offers an exciting opportunity to join a multidisciplinary and collaborative research environment combining genomics, bioinformatics, aging
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structural biology, are encouraged to apply. Experience with protein expression and protein purification/isolation are required. Bioinformatics and structural modelling are also desirable. Additional
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that require processing by experts with the right skills in bioinformatics and molecular biology. The research group consists of four associate researchers and one PhD student. Within the group, we value a
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to apply. Experience with protein expression and protein purification/isolation are required. Bioinformatics and structural modelling are also desirable. Additional qualifications include effective writing
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. Qualifications: PhD in Molecular Biology, Biomedicine, Human Physiology, Computational Systems Biology or similar fields. Proven expertise in LC/MS based metabolomics and/or bioinformatic analyses of complex omics
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Fishes” (Grant nº 2024/03891-8), starting in 2026. Requirements: -Ph.D. degree obtained no more than 7 years ago in Animal Genetics or related fields; -Proficiency in bioinformatics tools, such as Linux
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Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Required: Strong understanding of machine learning (ML) and deep learning (DL) methods, with hands-on experience in model development and