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Field
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teaching obligations aligned with the candidate’s expertise and offered at TUM by the Professorship of learning Analytics. The doctoral researcher will work with rich longitudinal data on student interaction
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Specific Requirements Ability to monitor deadlines, deliverables and partner contributions Experience consolidating information provided by multiple experts Experience preparing reports, presentations
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 28 days ago
-life applications, improving lives. Spatial multi-omics technologies are currently pushing the boundaries of single-cell profiling techniques. By measuring the position of every cell alongside multiple
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: Performing computational analyses of high-throughput sequencing datasets, including: single-cell RNA-seq and ATAC-seq spatial transcriptomics / spatial multi-omics bulk RNA-seq and ATAC-seq CUT&RUN Developing
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of generative AI approaches to automatically generate sequences of skills for assembly tasks Investigation of state-of-the-art foundation models for modeling and generalizing assembly operations Design and
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on downstream regression tasks. A key challenge lies in effectively modeling the temporal nature of EO data. Since downstream applications require varying temporal resolutions and sequence lengths, from daily
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | about 2 months ago
or transition to a permanent position based on performance. Responsibilities Analysis of high-throughput sequencing data (e.g., Illumina, PacBio) Development and maintenance of data processing pipelines Support
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Master's degree or PhD in Biostatistics, Data Science, Machine Learning, Bioinformatics, or a related field. Experience with genomic data (e.g., Whole Genome Sequencing, 16S rRNA sequencing, single-cell RNA
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European Molecular Biology Laboratory (EMBL) | Heidelberg, Baden W rttemberg | Germany | about 2 months ago
in situ sequencing workflows Establish multimodal protocols integrating spatial transcriptomics with multiplexed protein imaging, DNA-FISH, perturbation screening and other imaging/omics modalities
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profound understanding of deep-sequencing technology and experience with analysis of multi-omic and single-cell data. Our requirements PhD degree in bioinformatics or equivalent experience in a related field