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the analysis of proteomic data, as well as experience in spatial proteomics (laser capture), single cell proteomics and MALDI Imaging. Previous research experience in the genetics of human disease is desirable
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educational programs or related programs, and you will be involved in supervising BSc, MSc and potentially PhD students whose work relates to composite mechanics and structural analysis. Through
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blotting and qPCR. • Immunohistochemistry. • Single-cell sequencing and ATAC-seq. • Statistical analysis of experimental data. Candidates with previous experience in animal models of pulmonary
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-computational loop, using analysis results to guide the design of the next round of automated experiments (design of experiments, active learning). Ensure reproducibility and FAIR data practices: version
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unless stated elsewhere in the job posting. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, Laboratory Operations, Laboratory Techniques, Researching, Results Reporting
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data analysis and machine learning (e.g. XGBoost), including model interpretation techniques (e.g. SHAP). Very good oral and written proficiency in English. Excellent communication skills, ability
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characterization of NIR-emitting OLED devices Close collaboration and active scientific exchange with project partners Analysis, interpretation, and documentation of experimental results Preparation and publication
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mammalian cell cultures, transfections, transductions, isolation and characterization of extracellular vesicles, and isolation and analysis of nucleic acids, etc. The studies will also include isolation and
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work at the intersection of systems neuroscience, neurophysiology, imaging, and computational analysis to uncover how motor cortical circuits support learning and memory. Be You. You will contribute
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males and females respond differently to bacterial infection. The successful candidate will play a leading role in the imaging and data analysis components of the project. They will develop and apply high