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system. The project is supervised by Prof. Hannah Dugdale (University of Groningen), Prof. David S. Richardson (University of East Anglia, UK) and Prof. Kees van Oers (Netherlands Institute of Ecology
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MS/MS and annotation (e.g. SIRIUS, HMDB, authentic libraries etc.), statistical uni- and multivariate analysis, data visualization (PCA score, volcano, heatmap, and correlation plots, either software
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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health science field. A strong interest in allergy, immunology, military medicine, or clinical diagnostics. Experience with clinical research, statistics, or patient-centered data collection is a plus. The
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, result interpretation and figure visualization on biological data of genomics, transcriptomics, proteomics, cytomics, spatial omics to identify genetic and cytometric biomarker Provide statistical
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Job Purpose The candidate will contribute to the work of the consortium *Policy Modelling for Health (HealthMod”, 2024-2028) and associated projects, *working with Dr. Andreas Hoehn, Prof. Petra
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with data processing using EddyPro software, and the ability to perform statistical analyses in an R environment. A valid driver's license is required. As set forth FCT Research Scholarship Regulation
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The Department “Genes and Environment” (lead by Prof. Dr. Dr. med. univ. Elisabeth Binder) at the Max Planck Institute of Psychiatry in Munich is offering a position as a PhD Student (m/f/d
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for listening and reading. Experience in working with human participants, strong technical skills, and experience with data and statistical analysis. Experience in neurostimulation (e.g. transcranial magnetic