JOCB Bulletin
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JOCB BULLETIN
JOCB Bulletin
Published online: 2 April 2014 # Springer-Verlag Berlin Heidelberg 2014
Thanks once again to all our readers who have submitted items for inclusion in this section. Can I remind you that we advertise readers’ items at the interface of the physical and life sciences free of charge including illustrations and colour. Any contributions that might be of interest to researchers in the Chemical Biology field concerning studentships, job vacancies courses or conferences, book reviews or news items would be most welcome. Please send to Dr C A Rosser Email [email protected]
GRADUATE STUDIES IN BILBAO, SPAIN
Postdoc position in Radiopharmaceutical Chemistry, Illinois Institute of Technology, Chicago, IL The postdoctoral candidate selected for this position will work on interdisciplinary research projects for development of cancer therapeutic and diagnostic drugs. A Ph.D. degree in radiochemistry, medicinal chemistry, or biochemistry related field is required. Prior experience in conjugation chemistry of antibody and peptides, radiolabeling with lanthandies and actinides, in vitro assays including in vitro serum stability and radioimmunoassay, cell and tissue culture and cytotoxicity work, receptor binding assay, and radiochemical and biochemistry techniques is desirable. Send CV and the names of three references to [email protected]. Dr. Hyun-Soon Chong, 3101 S. Dearborn St, LS 182, Illinois Institute of Technology (IIT), Chemistry Division, Chicago, IL 60616. Deadline: 31 May 2014 Contact: Joy Chong [email protected]
Post-doctoral Training Fellow - Cancer Bioinformatics
The University of the Basque Country offers Master and PhD degrees in Molecular Biology and Biomedicine. The one-year Master degree (60 ECTS) consists of lecture courses (30 ECTS) and a research project (30 ECTS). No knowledge of Spanish required. Info at: www.masterbiologiamolecular.ehu.es
Molecular Pathology, The Institute of Cancer Research www.icr.ac.uk We seek a Post-doctoral Training Fellow to work on machine learning in cancer research. Our lab develops novel approaches that combine statistical modelling with pathological image analysis to generate robust and objective predictions of pathological outcome in patients. Our goals are to foster new development of statistical applications in biology and pathology, and to develop novel therapeutic strategies through working with the therapeutic unit at ICR. In particular, our lab focuses on developing image processing tools for pathological images to
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revolutionize the field of pathology, turning qualitative observations into quantitative measurements (Yuan et al. Sci Trans Med 2012). This allows us to then catalogue both rich ‘omics’ data and pathological features to draw on the power of both molecular and pathological diagnosis. The responsibility of this post holder is to develop machine learning methodologies for large sets of in-house data including large clinical trials. The successful applicant will enjoy working in the interdisciplinary fields and collaborating wi
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