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hands-on experience in tissue handling, histology, microscopy, and spatial transcriptomics. Experience with the computational analysis of NGS- or imaging-based spatial transcriptomics and single-cell
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candidate is expected to contribute to the overall objectives of the project by being involved in the project management, data collection, and data analysis. The candidate is also expected to contribute
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experimental research-based technology integration, modeling, control, and data-driven analysis and toolset development. Here is the chance to work in a pleasant team atmosphere, dive into research and at
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interdisciplinary DIGIFABA project, aimed at enhancing the sustainability and climate resilience of grain legume production through digital phenotyping, advanced data science methodologies, and mechanistic modelling
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bioinformatic analysis of NGS data. Hands-on experience in generating high-quality ChIP-seq data. Hands-on experience in culturing mammalian cells. Experience in molecular biology techniques, including use
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communication skills are required for this position. We are seeking a bright and empathic person with a PhD in materials science, materials science in soft and biomaterials, MEMS processes, advanced lithography
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an independent research career. Responsibilities and qualifications We are looking for a creative and ambitious researcher with a PhD within cellular biology, molecular biology, bioengineering or similar. You must
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, such as corpus analysis, surveys, or other data-driven approaches Strong interdisciplinary orientation and capacity to collaborate across the digital humanities, computational linguistics, media studies