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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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The Network Analysis and Modelling uses machine learning to investigate how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. We are seeking a
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for proper cell function. However, transcription by RNA polymerases can be blocked by DNA damage on the DNA template, for example by UV-light or other chemicals. Transcription-blocking DNA damage can therefore
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Job Description Are you eager to engineer the next generation of cancer therapies? Apply for a fully funded 3-year PhD position at the Technical University of Denmark (DTU), where you will work in
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the genetic and clinical variability of PRPH2-IRD by studying a large patient cohort with detailed genetic analysis and advanced imaging techniques. The project will focus on identifying genotype–phenotype
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), ecological processes (primary productivity and decomposition rates), and greenhouse gases (3D-printed flux chambers), and investigating how we can use citizen science-driven data streams for model development
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conditions. This research is anticipated to significantly advance our understanding of cellular translation regulation and its role in stress and survival mechanisms. The research will involve close
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working with live animals. Excellent skills for data handling and statistical analysis. Strong written and oral communication skills in English. Ability to work both independently and as a part of a team
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via operando liquid-phase transmission electron microscopy (LP-TEM). Your tasks: Self-motivated and independent planning, execution, and analysis of research in the scope of operando electrocatalysis
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, causality, and space-time physics. We are convinced that further progress on open problems in physics is not possible without acknowledging the crucial role of observations and context in the foundations