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Develop and implement strategies to ensure the success and growth of a $1M+ comprehensive annual giving program as an integral component of Heidelberg University’s overall institutional advancement
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Software Engineer (w/m/d) Ihre Aufgaben: Eruierung von Problemen in den Lehr- und Lernaktivitäten der Universität sowie von fehlenden Funktionalitäten in der Interoperabilität der Lehr-, Lern- und
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interdisciplinary and international team of computational and experimental scientists, gaining unique opportunities to develop novel computational tools and pipelines for the analysis and integration of genomic
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, execution and analysis of three cooperative sub-projects within the FADOS network: The development of kinetic Monte-Carlo algorithms with realistic working parameters which account for inhomogeneous and
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for Astronomy in Germany. The StarForML group focuses on developing robust machine learning tools for the evaluation of star formation observations. We aim to gain new insights into how star formation progresses
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infrastructure that enables secure, large-scale data integration across Europe. The postdoc will focus on two pillars: Multi-omics data integration: developing robust pipelines and frameworks for preprocessing
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data sharing and computing Further develop and maintain Infrastructure as Code (IaC) solutions using tools like Terraform or AWS CloudFormation Implement and maintain containerized compute environments
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computing Develop Infrastructure as Code (IaC) solutions using tools like Terraform or AWS CloudFormation Implement containerized compute environments using Kubernetes (EKS) or Docker-based orchestration
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, and biomedicine to develop reproducible, micrometer-scale, controllable, and cost-efficient 3D stem cell-derived disease models for applications in neuroscience, cardiology, and gastroenterology
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Limitation:Temporary (2 years) Contract:TV-L Your tasks Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data. Apply machine learning and signal processing approaches