Your Arbeitgeber
Swiss Paraplegic Research (SPF) is an affiliate of the Swiss Paraplegic Foundation. The mission of SPF is to sustainably improve the situation of people with spinal cord injury (SCI) through clinical and interdisciplinary research on a national and international level. Specific areas of its comprehensive research include functioning, movement and mobility, social integration, equality of opportunity, self-determination, quality of life, health services provision, as well as morbidity and mortality. SPF is an extra-university research institution recognized and promoted by the Swiss federal government and the cantons, and it maintains active links to academic and industrial research and development at the national and international levels.
We are currently looking for a
PhD candidate in Rehabilomics and Spinal Cord Injury 100%
to join our Rehabilomics framework, which merges rehabilitation science with omics technologies. The role involves developing a digital biobank within the SwiSCI Biobank and advancing SCI rehabilitation research. The candidate will register at the University of Bern, supported by experts in translational medicine and data science.
Program : This program offers training in SCI, rehabilomics, and biobanking. Responsibilities include designing a rehabilomics platform, conducting SCI research, and publishing findings to advance rehabilitation science.
Your Verantwortung
* Review scientific literature
* Develop a PhD research plan
* Plan, manage, and conduct data collection and perform analyses
* Write ethical applications and scientific papers as part of the PhD thesis
* Present study results at national and international conferences
* Collaborate with an interdisciplinary team of researchers
* Participate regularly in the University's graduate program
Your Persönlichkeit
* Bachelor's in Biomedical field, Engineering, Natural Sciences, or Life Sciences
* Master's in Bioinformatics, Data Science, Biomedical Engineering, or related fields
* Some informatics skills, preferably with experience handling large datasets
* Familiarity with omics technologies and background in experimental design, data collection, and analysis
* Ability to work independently and in multidisciplinary teams
* Excellent organizational, communication, and analytical skills
* Fluent in English with good German language skills
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