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Position: PhD for the SafetyNet project, Faculty of Health, Medicine and Life Sciences, Department of Toxicogenomics
Institution: Maastricht University
Location: Maastricht, Limburg, Netherlands
Duties: The SafetyNet project (Drug safety indices for heart and liver derived from network modelling) aims to develop in silico models for predicting heart and liver toxicity. A systems biology approach will be used to develop, validate and optimize the predictive models. for this, iterative cycles of transcriptomic analysis, functional genomics, phenotypic measurements and computational modeling will be performed in dedicated in vitro cell systems. The successful candidate will use RNA-sequencing to assess the impact of drug exposure on gene expression in induced pluripotent (iPSC)-derived cardiomyocytes and human hepatocytes. Based on this, computational network models will be created in collaboration with the Max-Planck-Institute for Molecular Genetics in Berlin. These models will subsequently be validated and refined using RNA interference in combination with phenotypic measurements and additional RNA-seq analysis. The work you will be performing in this project consists of both wet-lab and dry-lab work. You will be employed as a PhD student in the Toxicogenomics department (TGX) of Maastricht University. TGX is a multidisciplinary team of biologists, toxicologists and computer scientists working in close collaboration to establish the biological impact of exposures to potentially toxic compounds. Involved in many international consortia, TGX expertise focuses notably on the application of innovative omics-technologies in in vitro toxicology and human health risk analysis in order to obtain more accurate understanding of toxicological processes. You will be supervised by Dr. F. Caiment and Dr. T van den Beucken
Requirements: What we seek; A creative and well-organized phD student (1.0 fte); A strong knowledge in molecular and cellular biology; Team spirit to work in a multidisciplinary team of molecular biologists and computer scientists; Experience in basis molecular biology technics (RNA extraction, RT, PCR…); Experience in cultivating human cells; Experience in data analysis/bioinformatics would be a plus. The motivation to learn this is required; Fluency in English is mandatory
   
Text: PhD for the SafetyNet project, Faculty of Health, Medicine and Life Sciences, Department of Toxicogenomics Published Deadline Location yesterday 6 Dec Maastricht The SafetyNet project (Drug safety indices for heart and liver derived from network modelling) aims to develop in silico models for predicting heart and liver toxicity. A systems biology approach will be used to develop, validate and optimize the predictive models. For this, iterative cycles of transcriptomic analysis, functional genomics, phenotypic measurements and computational modeling will be performed in dedicated in vitro cell systems. Job description The SafetyNet project (Drug safety indices for heart and liver derived from network modelling) aims to develop in silico models for predicting heart and liver toxicity. A systems biology approach will be used to develop, validate and optimize the predictive models. For this, iterative cycles of transcriptomic analysis, functional genomics, phenotypic measurements and computational modeling will be performed in dedicated in vitro cell systems. The successful candidate will use RNA-sequencing to assess the impact of drug exposure on gene expression in induced pluripotent (iPSC)-derived cardiomyocytes and human hepatocytes. Based on this, computational network models will be created in collaboration with the Max-Planck-Institute for Molecular Genetics in Berlin. These models will subsequently be validated and refined using RNA interference in combination with phenotypic measurements and additional RNA-seq analysis. The work you will be performing in this project consists of both wet-lab and dry-lab work. You will be employed as a PhD student in the Toxicogenomics department (TGX) of Maastricht University . TGX is a multidisciplinary team of biologists, toxicologists and computer scientists working in close collaboration to establish the biological impact of exposures to potentially toxic compounds. Involved in many international consortia, TGX expertise focuses notably on the application of innovative omics-technologies in in vitro toxicology and human health risk analysis in order to obtain more accurate understanding of toxicological processes. You will be supervised by Dr. F. Caiment and Dr. T van den Beucken. Specifications 38—40 hours per week €2395—€3061 per month Maastricht View on Google Maps Maastricht University (UM) Requirements What we seek A creative and well-organized phD student [1.0 fte] A strong knowledge in molecular and cellular biology Team spirit to work in a multidisciplinary team of molecular biologists and computer scientists Experience in basis molecular biology technics (RNA extraction, RT,PCR…) Experience in cultivating human cells Experience in data analysis/bioinformatics would be a plus. The motivation to learn this is required Fluency in English is mandatory Conditions of employment Fixed-term contract: 4 years. The full-time position is offered for four years (1 3), with a yearly evaluation. Your salary would be € 2.395,- gross per month in the first year up to € 3.061,- gross per month in the fourth year according to the PhD-candidate salary scale.The collective agreement has a comprehensive package of benefits. We also offer you a stimulating scientific environment with excellent facilities for professional and personal development. The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. For more information look at the website www.maastrichtuniversity.nl > Support > UM employees. Employer Maastricht University Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 18,000 students and 4,400 employees. Reflecting the university's strong international profile, a high proportion of students and staff from is coming from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience. http://www.maastrichtuniversity.nl/ DEPARTMENT At the Department of Toxicogenomics (TGX), a multidisciplinary team of biologists, chemists, toxicologists and bioinformaticians is working in close collaboration to establish the biological impact of exposures to potentially toxic compounds. The rapid development of the new, so called omics-technologies, has enabled us to establish responses at different molecular levels with higher sensitivity than most classical effect markers, and providing information on the involved molecular mechanisms of action. As such, toxicogenomics research combines toxicology with genomics approaches in order to obtain more accurate understanding of toxicological processes. The application of these innovative omics-technologies in in vitro toxicology and human health risk analysis can be regarded as the central research paradigm of our department (https://www.maastrichtuniversity.nl/research/toxicogenomics / https://toxicogenomics-um.nl/ ). Additional information For inquiries: Dr. T. van den Beucken (0031-43-3881089, email: t.vandenbeucken@maastrichtuniversity.nl) or Dr. F. Caiment (0031-43-3881218, email: florian.caiment@maastrichtuniversity.nl). If interested, please use the 'apply now'-button on this page. You should upload: a cover letter explaining your motivation and suitability for the position; a detailed Curriculum Vitae (including a list of publications and key achievements in research projects); contact information of two references; copies of diplomas with course grades. Twitter
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