Kliniska vetenskaper lund
The University has around 47 students and more than 8 staff based in Lund, Helsingborg and Malmö.
Project assistant in precision medicine - Grade
We are united in our efforts to understand, explain and improve our world and the human condition. Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset. Description of the workplace At Clinical Sciences Helsingborg, research is conducted in precison medicine with a focus on cardiometabolic diseases.
The activity takes place within the Department of Clincial Medicine and is located at Helsingborg Hospital campus in Helsingborg. Within the research group, we maintain a good working environment with respect and consideration in our relationships with each other, and strive for a workplace where employees feel able to develop in their professional roles and are treated with humility and respect by their coworkers.
We strive to create work conditions that endow a sense of satisfaction, self-development and participation for all employees. We protect both physical safety and psychosocial well-being.
Department of Clinical Sciences, Lund
What we offer Lund University is a state authority, which means you get special benefits, generous holidays and a favorable occupational pension. We also have a flexible time agreement that creates good conditions for balance between work and leisure. Read more on the university's website about being employed at Lund University, Work with us. Duties and areas of responsibility The successful candidate will work closely with Prof.
Franks to plan, execute, and disseminate research related to precision medicine, obesity and other cardiometabolic diseases. This work will include drafting and submitting documentation related to the research projects, undertaking statistical analyses, and organizing meetings with internal and external stakeholders.
Institutionen för kliniska vetenskaper, Lund
Providing support with new funding applications is requirement of the role. Much of the work will be undertaken with international partners from around the world, including Europe, Latin America, Asia, and Africa. The research project focuses on the subclassification of obesity phenotypes in order to optimise precision prediction models that may help improve diagnosis and treatment of obesity-related disorders.
The research involves machine learning analysis of high-dimensionality human datasets. Other key aspects of the employment will involve assisting with grant applications and planning research initiatives including collaborator meetings. Other The employment is a special fixed-term employment SÄVA during the period to and including This is how you search The position is applied for via the university's recruitment system.
The application must include a personal letter justification as to why you are interested in the position and how the position matches yours merits. The application must also contain a CV, diploma or equivalent and anything else you wish refer to copies of grades, information for references, letters of recommendation, etc. The Faculty of Medicine is a part of Lund University, and is responsible for education and research within medicine and healthcare.
Our research spans a broad field within experimental preclinical research, near-patient clinical research and health sciences research. The Faculty of Medicine, with its 1, employees and 2, students in Lund and Malmö, is a knowledge-intensive meeting place for students, teachers and researchers from all over the world. We have a strong focus on clinical and epidemiological research and also conduct an extensive preclinical laboratory research.
Return to job vacancies. Qualifications Essential characteristics: Master's degree or the equivalent of more than credits in biomedicine or related fields. Relevant background knowledge in precision medicine, data analysis including machine learning , and epidemiology. A demonstrable understanding of clinical translation, particularly in low-resource settings e.
Neurosurgery
Clear evidence of training and research productivity in areas related to precision medicine. Endnote , and written and oral communication in English. Emphasis will be placed on personal qualities.