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perturbation-based GRN inference for single-cell and spatial multi-omics data, to boost GRN quality and add the cell type and tissue heterogeneity dimensions to causal regulatory analysis. A deep learning
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administrative systems. Dominant research areas are public policy and administration, institutional analysis, comparative politics, opinion studies and political theory. Project description The overall aim
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of microbial communities using 16S rRNA gene sequencing, followed by bioinformatic analysis. It further includes applying hierarchical and mixed‑effects models and integrating microbiome data with environmental
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spectrometry, thermal analysis, mechanical testing) Your PhD research will contribute to the development of next-generation bio-based materials from forest resources. Within the GreenPolChem group and WWSC
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and reflective empirical analysis with strengths in intersectional perspectives on gender and sexuality and feminist methodologies. Read more about about our research themes here: https
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concepts Structure–property relationships in bio-based materials Advanced characterization techniques (e.g. NMR, GPC/SEC, mass spectrometry, thermal analysis, mechanical testing) Your PhD research will
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constraints such as sensitive devices running in a medical environment could be considered. Keywords for this project: code analysis, static analysis, reverse engineering, defense mechanisms, vulnerability
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data (HRMS) used for non-target analysis. The projects aims to develop a combination of supervised and unsupervise machine learning stragaties for pinpointing chemicals that have high toxicity
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credits, or Mandatory requirement for English equivalent to English B/6 Experience in formulating lipid nanoparticles with mRNA via microfluidics Experience in sample preparation and data analysis from
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LevelMaster Degree or equivalent Skills/Qualifications Merits for employment are: experience and knowledge in organic chemistry, chemical analysis using spectroscopic methods, emulsion polymerisation and