意大利国家研究委员会招聘定量医学方向博士后

One or two profiles of Quantitative/Computational/Systems Biology at PreDoc/Postdoc level are needed at: LISM – Laboratory for Integrative Systems Medicine (http://www.lism-cnr.eu/) The projects of interest for this application involve research on networks, and applications in the cancer field. 1. Junior or senior candidates can apply. 2. If you communicate fluently in english and want to work in an international research environment, please let us know your interest.

Description

REQUIRED SKILLS: Quantitative background from one (or more) of the fields listed below: 1. Applied Mathematics,Optimization,Networks 2. Computational Physics 3. Computer Science/Medical Informatics 4. Engineering 5. Machine Learning,Signal Processing, 6. Statistics. 7. Computational Biology & Bioinformatics Important! All your research experiences need to be documented (please show evidences of titles, projects, courses, references, etc.) Especially relevant skills for the quant profile are: 1. Experience in graphs/networks (design, inference, annotation). 2. In-depth understanding and implementation of methods and development of algorithms for statistical and machine learning classification, clustering, predictive modelling. 3. Experience on omics and clinical data analysis, in particular gene regulatory networks, protein interactomes, development of diagnostic tools, bio-image processing. Candidates with programming/scripting experience are also welcome. In particular, proficiency in one or more mainstream programming languages (C, C++, Java, Python, Perl, etc.), together with the understanding of relational database design and SQL/DBMS systems (e.g. MySQL, PHP, Oracle). Clear demonstration of experience in analysis and modelling of biomedical and clinical data must be provided. Desired technical characteristics:- Expertise in methods and technologies involving Database and Datawarehouse resources utilized for integrative analysis of omics and clinical data. - Experience with ontologies, data exchange standards, data mining, etc. - Expertise in visualization methods (ex. Cytoscape) for use with bio-platforms. - Buikding computational Pipelines, - Implementing Software tools, Data fusion, mining and assimilation, - Biological annotation.

Benefits

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