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Position: Postdoc in Epidemiological Modelling of Global Factors Influencing Antimicrobial Resistance
Institution: Technical University of Denmark
Location: Kongens Lyngby, Lyngby‐Taarbæk Municipality, Denmark
Duties: Your main responsibility will be to identify macro-epidemiological factors that can contribute to explaining the global occurrence, trends, emergence and transmission of infectious diseases with a focus on AMR; You will accomplish this by analysing and interpreting data representing a range of possible explanatory/predictor variables using quantitative epidemiological methods (e.g. correlation analysis, time-series analysis, spatial analysis, multivariable regression and/or Bayesian modelling); You will communicate research results by presenting data at project meetings and international conferences, and write reports and manuscripts for publication; You will engage in the general work carried out by the research group, including discussions and planning of strategies and projects, drafting research grant proposals, etc
Requirements: Holds a PhD degree within one of the following areas: public health epidemiology, statistics, social epidemiology, veterinary epidemiology, or eco-epidemiology; Has documented experience with quantitative epidemiological methods, including temporal and spatial analytical methods, working with macro level predictors and with linking and analysing data from various sources; Has proficiency in statistical programming in R, python, MATLAB or similar; Preferably, has experience with infectious disease epidemiology at the macro level and is familiar with bioinformatics and genetic epidemiology; Has good English communication skills, oral and written
   
Text: Postdoc in Epidemiological Modelling of Global Factors Influencing Antimicrobial Resistance DTU Food Del til Facebook Del til Twitter Del til LinkedIn Thursday 09 May 19 Apply for this job Apply no later than 29 May 2019 Apply for the job at DTU Food by completing the following form. Apply online Antimicrobial resistance (AMR) is among the biggest challenges for human and animal health. If global drivers of this could be identified we might perform interventions at a much earlier stage. We are seeking a candidate for a vacant postdoc position in epidemiology within the area of global surveillance and predictive epidemiological modelling of infectious diseases with a focus on antimicrobial resistance (AMR). You will be affiliated with the Genomic Epidemiology Research Group, which primary task is to conduct targeted research with the aim of predicting and preventing infectious diseases in humans and animals, and supporting global detection, surveillance and control. The research group combines expertise in conventional and molecular microbiology with epidemiology and bioinformatics and act as EU and WHO reference centre for antimicrobial resistance. The Genomic Epidemiology Research Group is together with several partners worldwide and funded by the Novo Nordisk Foundation establishing a global surveillance of infectious diseases and AMR to a large extent based on metagenomic sequencing of urban sewage, and the data are ready for epidemiological analysis ( www.genomicepidemiology.org , www.globalmicrobialidentifier.org , www.compare-europe.eu An important research objective is to identify risk factors that can contribute to explaining the occurrence, trends and emergence of AMR. AMR is a complex problem with multiple and interconnected drivers driven by biological processes. However the operation of biological mechanisms is shaped by the social, economic, political and cultural context in which they occur.Possible explanatory variables for the transmission of AMR may include climatic, demographic, socioeconomic and health-related factors collected at the national level and are publicly available through databases and registries. The postdoc’s main responsibility will be to analyse and interpret data from such external data sources and investigate if and how they associate with each other and with the surveillance data collected from sewage from major cities around the world. Responsibilities and tasks Your main responsibility will be to identify macro-epidemiological factors that can contribute to explaining the global occurrence, trends, emergence and transmission of infectious diseases with a focus on AMR. You will accomplish this by analysing and interpreting data representing a range of possible explanatory/predictor variables using quantitative epidemiological methods (e.g. correlation analysis, time-series analysis, spatial analysis, multivariable regression and/or Bayesian modelling). You will communicate research results by presenting data at project meetings and international conferences, and write reports and manuscripts for publication. You will engage in the general work carried out by the research group, including discussions and planning of strategies and projects, drafting research grant proposals, etc. If your interest lies here and time allows, you will also supervise students and contribute to the group’s teaching activities. Daily work will be in close collaboration with other researchers in the Genomic Epidemiology group and national and international partners associated with the global sewage project. Collaboration includes active participation in national and international meetings and conferences, sharing of data and results, and contribution to joint publications. Qualifications Candidates should have a PhD degree or equivalent. The ideal candidate: Holds a PhD degree within one of the following areas: public health epidemiology, statistics, social epidemiology, veterinary epidemiology, or eco-epidemiology. Has documented experience with quantitative epidemiological methods, including temporal and spatial analytical methods, working with macro level predictors and with linking and analysing data from various sources. Has proficiency in statistical programming in R, python, MATLAB or similar. Preferably, has experience with infectious disease epidemiology at the macro level and is familiar with bioinformatics and genetic epidemiology. Is able to work independently and able to plan and carry out complex tasks, while having the ability to engage constructively in a large, international and cross-disciplinary research group. Has good English communication skills, oral and written. Is ambitious and has a strong drive for obtaining high-quality results. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and terms of employment The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Professor Frank M. Aarestrup, fmaa@food.dtu.dk, 45 3588 6281. You can read more about the Genomic Epidemiology Research Group at http://www.food.dtu.dk/english/Research/Genomic-Epidemiology Application procedure Please submit your online application no later than 29 May 2019 (local time) . Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach all your materials in English in one PDF file . The file must include: Application (cover letter) CV Diploma (MSc/PhD) List of publications Applications and enclosures received after the deadline will not be considered. All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. The National Food Institute (DTU Food) works within six technical focus areas: Biotechnology, nutrition, food quality, food safety, food technology and environment & human health. Activities cover a wide range of food products throughout the entire food chain from farm to table, comprising both research activities and research-based consulting and teaching. Read more at www.food.dtu.dk. DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government and public agencies.
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