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lymphocytes Basic skills in molecular biology and biochemistry (e.g. cloning, gene expression, protein identification) Analytical skills including analysis of multi-parametric flow cytometry and experience with
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Laboratory techniques for sample preparation Analysis of mass spectrometric datasets and statistical calculations Contribute to in vitro analyses Contribute to carrying out animal experiments Contribute
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(e.g., single-cell and bulk RNA-seq, ATAC-seq and ChIP-seq) and computational data analysis is considered highly advantageous. Selected references: Jakobsen et al., 2024. MYC activity at enhancers drives
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conducting microbiological work and should preferreably have practial experience within molecular biology laboratory techniques as well as practial experience with omics data analysis (e.g. NGS workflows and
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in teaching (preferably in science, science communication, or higher education) experience with immersive technologies (e.g., XR/VR/AR) and/or multimodal data analysis (e.g., eye-tracking, gesture
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Laboratory techniques for sample preparation Analysis of mass spectrometric datasets and statistical calculations Contribute to in vitro analyses Contribute to carrying out animal experiments Contribute
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, molecular techniques and bioinformatics analysis is desirable. Experience in data analysis is advantageous. The applicant must be willing to travel for a 2-3 month research stay to learn new skills
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machine learning for safe and optimal control of cyber-physical systems. The projects are expected to be funded by the VILLUM INVESTIGATOR project S4OS (“Scalable analysis and synthesis of safe, secure and
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wearable and ambient IoT sensing systems for activity and health monitoring. Implementing embedded AI models for anomaly detection and behaviour analysis. Working on digital twin and serverless IoT
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cell factory development, data analysis and fermentation optimization. Oversee project planning, execution, and resource allocation. Provide teaching, scientific guidance and mentorship to PhD and Msc