Visit www.acad.jobs with all Jobs for Academics!
                
Position: Postdoc in Computational Biology
Institution: Technical University of Denmark
Location: Kongens Lyngby, Lyngby‐Taarbæk Municipality, Denmark
Duties: Network/pathway-driven analysis of omics data obtained from critically ill patients and endothelial cell culture experiments. Specifically, the applicant will be working with metabolomics, proteomics, and genomics data along with typical patient metadata such as age, sex, health status, etc; Assessment, application, and development of methods for integration of omics data with modeling in order to predict therapeutic manipulation strategies. Specifically, the applicant will be expected to develop both constraint-based and kinetic models using the omics data; The applicant will need to mine the Danish registry and work with data hosted on cloud platforms such as Computerome
Requirements: Candidates should hold a PhD degree in engineering, bioinformatics, biology or similar field; The applicant should have previous experience in using bioinformatics, statistics, and machine learning to answer biological questions. This includes familiarity with common visualization modules (e.g., in matplotlib in python) and statistics and machine learning modules (e.g., TensorFlow, scikit-learn, etc. in python); Previous experience in constraint-based modeling and kinetic modeling is desirable; Experience in omics data analysis (for example genomics, transcriptomics, proteomics, metabolomics, fluxomics) is required; Previous experience in developing scientific software in Python or similar language using version control tools (i.e., git) is required; Good communication skills in English are required
   
Text: Postdoc in Computational Biology Center for Biosustainability Share on Facebook Share on Twitter Share on Linkedin Friday 01 Nov 19 Apply for this job Apply no later than 27 December 2019 Apply for the job at Center for Biosustainability by completing the following form. Apply online Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain) at the Technical University of Denmark (DTU) and the SHINE Group at Rigshospitalet, Copenhagen University Hospital are seeking a highly motivated postdoctoral researcher in genome-scale biochemical network modeling and omics data analysis for translational research focusing on endothelial cell metabolism in patients with critical illness such as trauma and severe infections. The successful candidate will join a dynamic team working on data analysis, predictive modeling, software development, and next-generation sequencing data generation related to the ENDOTHELIOMIC research project. Research will be conducted in collaboration between the CFB and SHINE Group at Righospitalet: DTU Biosustain will provide an unique opportunity to become equipped with cutting edge skills in metabolic modeling and -omics data analysis, while the SHINE group will provide the opportunity to work with international leaders in the study of endothelial cell phenotypes in patients with critical illness. The position will require working closely with experimental and computational groups within DTU Biosustain and with physicians in the SHINE Group at Rigshospitalet. Responsibilities and tasks Network/pathway-driven analysis of omics data obtained from critically ill patients and endothelial cell culture experiments. Specifically, the applicant will be working with metabolomics, proteomics, and genomics data along with typical patient metadata such as age, sex, health status, etc Assessment, application, and development of methods for integration of omics data with modeling in order to predict therapeutic manipulation strategies. Specifically, the applicant will be expected to develop both constraint-based and kinetic models using the omics data. The applicant will need to mine the Danish registry and work with data hosted on cloud platforms such as Computerome. Qualifications Candidates should hold a PhD degree in engineering, bioinformatics, biology or similar field The applicant should have previous experience in using bioinformatics, statistics, and machine learning to answer biological questions. This includes familiarity with common visualization modules (e.g., in matplotlib in python) and statistics and machine learning modules (e.g., TensorFlow, scikit-learn, etc. in python) Previous experience in constraint-based modeling and kinetic modeling is desirable Experience in omics data analysis (for example genomics, transcriptomics, proteomics, metabolomics, fluxomics) is required Previous experience in developing scientific software in Python or similar language using version control tools (i.e., git) is required Good communication skills in English are required We offer We offer an interesting and challenging job in an international environment focusing on education, research, and innovation, which contribute improved patient outcome and improving social welfare. We strive for academic excellence, collegial respect and freedom tempered by responsibility. Salary and terms of employment Researcher salaries and benefits in Denmark are competitive world-wide. 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. You can read more about career paths at DTU here . The place of work is in Lyngby (DTU) and Copenhagen (Rigshospitalet). The period of employment is 2 years. Further information Further information may be obtained from: Group leader Dr. Douglas McCloskey, CfB at DTU, e-mail: domccl@biosustain.dtu.dk , tel.no. 45 93 51 19 57 Professor Pär I. Johansson, SHINE Group, Rigshospitalet, e-mail: per.johansson@regionh.dk , tel.no. 45 23729202 Application procedure Please submit your online application no later than 27 December 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. Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 11,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup.
Please click here, if the Job didn't load correctly.







Please wait. You are being redirected to the Job in 3 seconds.