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Field
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bioGUNE (Bilbao-Spain), led by Dr. Ana Ruiz-Saenz, strive to understand the molecular mechanisms underlying resistance to targeting therapies. Current and future projects are exploring new aspects
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years ago (excluding maternity leave), in accordance with the current NCN rules, Basic laboratory experience in the field of molecular biology or cell biology, Experience in at least 2 of the following
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entail genetic manipulation of bacterial pathogens, molecular biology, protein purification and characterization, tissue culture, models of infectious disease, and bioinformatics. The successful candidate
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Computational Chemistry, Materials Science, or a related field. Strong background in computational chemistry techniques, including molecular dynamics, quantum mechanical simulations, and machine learning
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and industry careers in the life sciences. Recent related references: Novak G, et al. Single-cell transcriptomics of human iPSC differentiation dynamics reveal a core molecular network of Parkinson’s
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, biophysics, spectroscopy or microscopy, systems biology, theoretical and evolutionary biology, community ecology, ecological modeling, molecular biology, biochemistry, dynamical systems, and sports medicine
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cardiovascular and metabolic diseases. Currently, we are studying mitochondrial calcium signaling and how it is altered in heart, liver, and kidney failure. Our research employs techniques in molecular and
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technologies Develop and apply new tools to study mtDNA mutations, copy number, and dynamics Characterize the cellular and mitochondrial consequences of mtDNA mutations using molecular, imaging, and functional
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the intersection of plant pathology, microbiology, molecular biology, and computational biology. The research focuses on understanding the population dynamics of fungal communities throughout the growing season and
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at the Department of Molecular Biology and Genetics (MBG), Aarhus University. Our research aims to understand how dynamic post-translational modification networks regulate protein function and cellular behaviour. By