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Position: Research Engineer - Biological Physics
Institution: Lund University
Department: Astronomy and Theoretical Physics
Location: Lund, Scania, Sweden
Duties: Our group is recruiting a research engineer for a project with the overall aim to develop a medical decision support tool in order to improve efficiency and increase equity in the treatment of patients with chest pain. The proposed solution is based on machine learning and text mining in order to collect, systematize and categorize patient data from medical journals and extensive health care registers. You will work in the area of natural language processing and machine learning where labeled extracted data sets will be used to develop and validate new risk prediction models for patients with chest pain
Requirements: Candidates should have at least a Masters degree in computational biology, applied mathematics, bioinformatics, or computer science, or another relevant field. Good knowledge in spoken and written English is prerequisite. Successful candidates must have a solid experience in programming including using python. In addition, experience in machine learning is a prerequisite
   
Text: Login and apply English Swedish Norwegian Danish Finnish German Dutch Chinese (BETA) Polish French (BETA) Research Engineer in Biological Physics Login and apply Lund University, Department of Astronomy and Theoretical Physics Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has 40 000 students and 7 400 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. The Faculty of Science conducts research and education within Biology, Astronomy, Physics, Geosciences, Chemistry, Mathematics and Environmental Sciences. The Faculty is organized into nine departments, gathered in the northern campus area. The Faculty has approximately 1500 students, 330 PhD students and 700 employees. The activities of the Department of Astronomy and Theoretical Physics are centred around three main areas: Astronomy and Astrophysics; Theoretical Particle Physics; and Computational Biology and Biological Physics. Our research is driven by our curiosity to understand reality, from the smallest of particles to the largest astronomical structures, as well as the structure of Life itself. We have a strong international position in all three areas, and we are actively working on further strengthening our international profile. We are looking for a research engineer for a R&D project where the aim is to develop new medical decision support tool in order to make treatment of patients who seek emergency care due to chest pain more efficient and equal. The employment is for two years. Start date is November 2018 or by agreement. Introduction The Computational Biology & Biological Physics group at the Department of Astronomy and Theoretical Physics is recruiting a research engineer for a project with the overall aim to develop a medical decision support tool in order to improve efficiency and increase equity in the treatment of patients with chest pain. The proposed solution is based on machine learning and text mining in order to collect, systematize and categorize patient data from medical journals and extensive health care registers. The project is interdisciplinary and include partners from the University, the Hospital and Clinical Studies Sweden. Job assignments The successful candidate will work in the area of natural language processing and machine learning where labeled extracted data sets will be used to develop and validate new risk prediction models for patients with chest pain. The work will include working with heterogeneous databases and software needs to be developed to extract and pre-process medical data from medical journals and other registers. The project is truly interdisciplinary and the successful candidate will have regular contacts with expertise in other areas such as emergency medicine, IT, epidemiology, statistics and language technology. Qualifications Candidates should have at least a Masters degree in computational biology, applied mathematics, bioinformatics, or computer science, or another relevant field. Good knowledge in spoken and written English is prerequisite. Successful candidates must have a solid experience in programming including using python. In addition, experience in machine learning is a prerequisite. Meriting Experience in natural language processing, particularly text mining or information extraction is advantageous. Good knowledge in spoken and written Swedish is advantageous. Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. We kindly decline all sales and marketing contacts. Type of employment Temporary position longer than 6 months Contract type Full time First day of employment According to agreement for two years Salary Monthly salary Number of positions 1 Working hours 100 City Lund County Skåne län Country Sweden Reference number PA2018/3562 Contact Mattias Ohlsson, Senior university lecturer, 46 46 222 77 82, mattias@thep.lu.se My Geborek, HR Officer, 46 46 222 48 53, my.geborek@science.lu.se Union representative OFR/ST:Fackförbundet ST:s kansli, 046-222 93 62 SACO:Saco-s-rådet vid Lunds universitet, 046-222 93 64 Published 08.Nov.2018 Last application date 29.Nov.2018 11:59 PM CET Share links Login and apply Return to job vacancies Varbi Recruit recruitment system COOKIES Conditions and GDPR × Modal title
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