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Field
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the molecular mechanisms underlying this morphotype switching, with a particular focus on the fungal protein Bdf1, a member of the BET family of chromatin regulators. Bdf1 contains two bromodomains that associate
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applicant has a strong background in computational biophysics, as well as data analysis and solid English-language skills. Previous experience in modeling G protein-coupled receptors or membrane proteins is
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interfaces and macromolecules (including polymers and proteins), using X-ray surface scattering techniques. Together with the beamline scientists, you will contribute to developing advanced, chemically and
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regulation of protein-protein interactions and biochemical activities at the mitochondrial level (see Gökerküçük et al., Autophagy 2023 DOI: 10.1080/15548627.2023.2179845; Jolivet, Desmaison et al., Adv Sci
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transcription, RNA biochemistry, protein-RNA interaction, protein-protein interaction, and/or bioinformatics analysis of transcriptomics data is required. The successful candidate will explore fundamental
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resistance and biofouling reduction. Key experiments will include protein purification, enzymatic and biophysical characterization, protein engineering and evaluation of their effects on microbes, including
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microscopy (CQ1, Yokogawa) Data analysis Your qualifications Excellent and highly motivated applicant with a strong background in the structural and functional characterization of membrane transport proteins
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): Multi-omics & Single-cell Analysis: Processing and interpretation of multi-omics and single-cell datasets (e.g., scRNA-seq) to investigate cellular heterogeneity, host-pathogen interactions, and immune
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on studying the regulation of sarcomeric proteins such as cardiac myosin heavy chain, including its S2 subfragment, and cardiac myosin binding protein-C (cMyBP-C), protein-protein interactions, myopeptide-based
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deconvoluted with single-molecule precision . Single-molecule analysis of ligand efficacy in β2AR-G-protein activation. Single-molecule FRET imaging of GPCR dimers in living cells Quantifying secondary transport