Springer Nature

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02/03/2024
Full time
Springer Nature Bern, Bern, Switzerland
Assistant Professor for Artificial Intelligence (AI) and Data Science in Radiation Oncology Employer Actor - University of Bern Location Bern Salary To negotiate Closing date 28 Apr 2024 Discipline Computing Job Type Faculty Member Employment - Hours Full time Duration Fixed term Qualification PhD Sector Academia The Medical Faculty of the University of Bern and the University Hospital (Inselspital) in Bern, Switzerland, invite applications for an Assistant Professor for Artificial Intelligence (AI) and Data Science in Radiation Oncology (limited to 4 years with option to extend) by agreement The University Hospital for Radio-Oncology, together with its alliance partners, is one of the largest providers of radiotherapy in Switzerland and a central cross-sectional service provider of the University Cancer Center Inselspital UCI. In addition to highly specialised...
21/02/2024
Full time
Springer Nature Bern, Bern, Switzerland
The Faculty of Medicine at the University of Bern is the largest in Switzerland. The NCCR RNA & Disease reinforces the leading position of Switzerland in RNA biology by connecting RNA researchers across the country and builds bridges between basic and medical research to promote rapid transition of new findings into medical applications. The medical faculty's Department of BioMedical Research (DBMR) supports and coordinates biomedical research. To strengthen the increasing need for computational and bioinformatics competencies, the DBMR, the medical faculty as well as the NCCR RNA & Disease have opened a call for a faculty position: Open-rank professorship (extraordinary professorship or assistant professorship with tenure track) for Omics Data Science for transcriptomics To be occupied immediately or upon agreement. A strong, independent academic track record in computational transcriptomic medicine is expected for the position. Integration into and...
21/02/2024
Full time
Springer Nature Zürich, ZH, Switzerland
Postdoc in multi-modal cancer data analysis at University of Zürich and ETH Zürich The position: Cancer is a complex tissue disease that involves multiple cell types including tumor, immune and stromal cells. These cells influence each other to dictate the outcome of the disease. Characterizing the cellular components and understanding the interactions of the tumor ecosystem is critical to identify the most appropriate treatment for each individual patient. Our group is among the pioneers in the development and application of single-cell approaches for the comprehensive analysis of tumor ecosystems. Our mass cytometry based approaches enable simultaneous analysis of over 40 protein and transcripts in single cells in suspension and in tissues. Over the past years we have collected comprehensive imaging mass cytometry (IMC) data from over a thousand patients within the IMMUcan consortium. We also have access to RNAseq,...