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(EKFZ: https://ekfz.uni-goettingen.de) Your tasks Large-scale and in-depth characterization of optimized Channelrhodopsin variants for basic research in neuroscience and future optogenetic therapies
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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Centre (HDSC) focuses on systematically generating, mobilising, and harvesting “big data” to create a dynamic and agnostic collection of information enabling a better understanding of the clinical
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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Two Postdoctoral Researchers in Cell Delivery-Based Beta Cell Replacement Therapy for Type 1 Diabete
private collaborators ranging from local SMEs to large multinationals. The department designs and develops data-driven solutions for a wide variety of business applications in sectors including transport
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will have the opportunity to: Gain important insights into clinically relevant aspects of cancer development and therapy Perform state-of-the-art in vivo experiments and large-scale drug and genetic
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research funding than all other New Jersey universities and colleges combined. Rutgers manages Protein Data Bank (PDB), the global archive of 3D structure data for large biological molecules (proteins, DNA
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. Responsibilities include processing large-scale sequencing data, developing and benchmarking methods for splicing and regulatory network inference, integrating multimodal data with clinical information
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Job description: At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 2,900 of them contribute to enabling excellent
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techniques (e.g. explainable, ethical, empathic and agentic AI), natural language processing (NLP), large language models (LLMs), data science methods, and mHealth to analyze large-scale, multidimensional, and