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Field
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. The main tasks will be: Analyse through bioinformatics patient -omics data to search altered signalling circuits and to validate their relevance across patient subgroups. Biologically assess effectiveness
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creative postdoctoral fellow with a strong molecular/cellular biology, immunology, and/or bioinformatics background and excellent written and verbal communication skills. The successful candidate will lead a
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: Independently perform a combination of biochemistry, analytical chemistry and bioinformatic research to further push the boundaries of native mass spectrometry. Design, plan and perform experiments, followed by
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of protein assemblies and other large biomolecules. Main responsibilities: Independently perform a combination of biochemistry, analytical chemistry and bioinformatic research to further push the boundaries
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, genomic, and bioinformatic analysis will be an asset. Duties and Responsibilities Perform independent, interdisciplinary cell biology, molecular biology research in model organisms or cells Collect, analyse
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assays, molecular biology, and rodent biology is required without exception. The ability to learn and adopt new techniques, particularly bioinformatics, immunohistochemistry and flow cytometry, is
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WissZeitVG. Profile: completed academic university degree (Diploma, Master's or equivalent) in microbiology, molecular biology, biochemistry, chemistry, bioinformatics, computational biology or a related field
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engineers – on average 10 people - led by Magdalena Calusinska, dedicated to advancing microbial biotechnology through multi-omics approaches, bioinformatics, and process optimization. As post-doctoral
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applicant with a strong background in the (electrophysiological) characterization of membrane transport proteins Proficiency in structural biology and/or bioinformatics and/or data-driven protein design
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Mediterranean Institute of Oceanography | Marseille, Provence Alpes Cote d Azur | France | 13 days ago
). • Cell-specific microbial activity measurements using fluorescent markers, flow cytometry, and cell sorting. • Generation and analyses (bioinformatic and statistical) of environment and microbiome data