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: · Processing multi- and hyperspectral satellite and drone data · Collection of field data on relevant forest traits and laboratory analysis · Forest radiative transfer modelling · Hybrid
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effector functions. Such understanding is essential for the development of new therapies against cancer and infectious diseases. Further information on our work can be found on our homepage and in our
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(sequence homology- or protein structure-based) Familiarity with UNIX/LINUX-based operating systems and shared compute infrastructure Proficiency in Python, R, or similar languages for data analysis
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hands-on experience in molecular cloning, cell culture systems, mouse models, and interest in liver disease biology. Experience with R or Python and the computational analysis of next-generation
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-viral gene delivery methods. Data Analysis and Interpretation: Rigorously analyze experimental data, interpret results, and present findings to internal research teams and at scientific conferences
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), immunofluorescence and microscopy Prior experience in RNA biology, NGS and/or Metabolism is an asset Understanding of common bioinformatics approaches and experience with one of the main programming languages for data
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discipline Solid wet-lab experience in molecular biology, ideally with tissue or protein work Motivation to develop bioinformatics and data analysis skills (training provided) Proficiency in English (spoken
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expansion microscopy (ExM) into our existing workflow. The goal is to visualise serotonergic wiring at subcellular resolution across developmental stages, enabling analysis of how circuit assembly is altered
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Kolter, Tjibbe Donker and Philipp Henneke analysis of multiscale single cell ‘omics data in in experimental and human models reference genome and transcriptome assembly and annotation across species
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documentation and analysis of research data Development of experimental strategies to investigate and test scientific hypotheses Presentation of research findings and preparation of scientific publications