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- WROCŁAW UNIVERSITY OF ENVIRONMENTAL AND LIFE SCIENCES
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of antibiotic resistance. You will build generative protein models to predict plausible future resistance mutations, use these models to guide high-throughput experimental screens of millions of enzyme variants
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Doctoral Scholar will embark on a program of independent research with the primary goal of determining how to harness abundant enzyme frameworks for challenging organic transformations. Duties will include
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and a commitment to rigorous laboratory practice. Experience in protein science, enzyme assay development, antimicrobial drug discovery or mycobacterial systems would be advantageous, as would
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governing how enzymes and cells work. In addition, you will be responsible for maintaining laboratory notebooks, handling confidential data, and following safety regulations. What We Offer Access to state
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Fungal identification using non-cultural methods (DNA and enzyme) Planning and carrying out laboratory experiments The successful candidate must also be able to work safely and independently in
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challenges in human-health and industry, and iii) generate large-scale enzyme datasets for training next generation protein design models. Jérôme Zürcher – The Zürcher group aims to develop methodology
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communication skills, with evidence of peer‑reviewed publications Preferred: Experience with maternal–fetal or pregnancy-related modeling Familiarity with model-based meta analysis Background in enzyme
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, Isolation of RNA, polymerase chain reactions, preparation of DNAs including plasmid DNA, cell transfections, primary T cell isolation, electroporation, enzyme assays, protein production, etc. Generating and
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reactor. The project focuses on the development of multi-catalytic hybrid materials (MCHMs), in which photocatalysts and enzymes will be co-immobilized on a common support. The Laboratoire Lorrain de Chimie
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: (1) the chemical regulation of nuclear xenobiotic receptors, (2) the mechanism of selective modulation of highly homologous drug-metabolizing enzymes. We are taking a hypothesis-driven and technology