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for high-throughput drug screening with human sperm Characterizing the pharmacological action of small molecules on contraceptive targets in human sperm Performing state-of-the-art motility analysis of human
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(NGS) technologies, including single-cell sequencing, to interrogate transcriptional networks. A central focus of your work will be the systematic analysis and interpretation of multi-omic datasets
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, documentation, analysis and interpretation of experiments Presentation of results in both written and oral form, delivery of reports Support and supervision of projects from PhD students Aquisition of project
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our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. These include cross-sectional and longitudinal cohorts, time-series intervention
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Postdoc Position in Models of Quantum Programming Languages (Sapere Aude: DFF-Research Leader Pro...
, and Programming Languages (ACP ), the section on Topology, Algebra, Analysis and Geometry (TAAG ) and the Centre for Quantum Mathematics (QM ). The proposed starting time is Winter 2026, with some room
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experience is beneficial Experience with the analysis and interpretation of large data sets, in particular high-throughput sequencing data from eukaryotic organisms Solid skills in programming and scripting
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to prevent the onset of cancer. In parallel, our research is dedicated to advancing our understanding of bladder tumor evolution biology through the analysis of next-generation sequencing (NGS) data and the
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Accountabilities PhD in biochemistry, Biomedical Sciences or Chemistry. Mass spectrometry-based proteomics. Data analysis of large proteomics datasets. Experience in cell culture and molecular biology. Languages
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analysis, or quantitative imaging in mammalian cells. You possess a high degree of independence, motivation, attention to detail and proactiveness. You have excellent time-management, self-organisation and
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, and analysis across sensor and remote-sensing streams. The research project in South Africa has very few long-term, intensively monitored experiments in managed forest environments. Just