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contributions to mastering the global challenges of mankind in the fields of energy, mobility, and information. For this, about 9.800 employees of KIT cooperate in a broad range of disciplines in research
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At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with
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tailored to model brain activities in health and disease, using Generative AI approaches, processing of structural and functional MRI data, and compiling and organizing large brain imaging repositories
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At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with
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, microbiology, and bioinformatics/data science. We welcome applications from researchers in these or related fields, especially those focusing on large-scale data integration using advanced technologies (e.g
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Postdoc in CRISPR Meta-Analytics and AI for Therapeutic Target Discovery and Priotisation (OT Grant)
presenting advances and results to Open Targets meetings and Integration days. Job requirements Essential requirements Hands-on experience in data science, preferably life sciences or medicine. A PhD degree
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experience with brain development, and/or cancer cell biology would be an asset. Experience with large-scale genomic data would also be advantageous. Prior first author publications are highly desirable. Must
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biological modelling, to biopharma technologies. The department has a scientific staff of about 210 persons, 140 PhD students and a technical/administrative support staff of about 160 persons, of which a large
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omics datasets Proficiency in cloud computing and data management, particularly for clinical and immunophenotyping data, in support of large consortia and multi-institutional collaborations within the U.S
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the function of phosphatases that form large signaling complexes and phosphatase drug/inhibitor complexes. We use integrative structural and cell biology to tackle research problems in cancer