Data science állások Németországban (kutató)

Techniques that will be relevant are in-vivo multi-channel electrophysiological recordings, behavioral experiments and state-of-the-art neural data analysis. ...

• Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets
• Integrate ontologies and metadata (e.g., tissue, cell type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks

• Support the strategic planning and development of future European and international research initiatives and funding proposals
• Monitor project milestones, risks, and dependencies

- OWL compliant ontology modeling of linguistic and conceptual metaphors in exchange with domain experts - Modeling a semantic thesaurus reflecting requirements and theoretical considerations of the involved subjects and domains ...

• Research on learned components for streaming data systems, such as
• learned cost, latency, and throughput models for continuous and multimodal queries,
• learning-based scheduling, parallelism, and resource allocation for streaming operators, and

to generate and harmonize user-friendly, standardized data analysis pipelines for a variety of computational tasks, including, but not limited to, mutation calling, bulk and single-cell RNA-seq analysis, ChIP-seq / Cut&Run analysis, CRISPR screen analysis, and DNA barcoding analysis,...

• A dynamic and interdisciplinary research environment
• Hands-on experience with EEG and fNIRS data acquisition and lab equipment
• Exposure to state-of-the-art methods in neural signal processing and data curation

- development and parameterization of machine learning interatomic potentials - implementation of new algorithms in scientific software packages - generation of training data using electronic structure calculations, atomistic simulations - presentation of scientific results at conferences and in...

• Research using behavioral experiments to incentivize consumer flexibility
• Publication (also as co-author)
• Co-supervision of bachelor and master theses (in the context of the project)
• Participation in CoDeF activities
• Academic self-governance

• Apply the frequency comb spectroscopy diagnostics to measure molecular species in low pressure plasmas related to industrial processes
• Develop and apply machine learning algorithms for data analysis and data-driven physics-constrained correlation mining

• Develop and adapt bioinformatics approaches for the analysis of human genomic and epigenomic data sets
• Design and implement analysis workflows for the analysis of long-read whole-genome sequencing and targeted short-read sequencing (hybridization capture, MeDIP-seq) data

• Supporting the Executive Publisher in managing and developing the existing journal portfolio, including new journal launches and acquisitions in the chemical sciences.
• Implementing journal development and commissioning plans aligned with the Thieme Science strategy to acquire high-quality content.

• You take responsibility for refining and validating a measurement method for human hair gloss.
• Together with your colleagues, you design and improve procedures for image acquisition and image analysis to reliably quantify gloss characteristics.

• Independent realization and coordination of the research project funded by the German Cancer Aid (Deutsche Krebshilfe)
• Planning, design, and implementation of cellular and molecular biology experiments