-
considered a plus. Proficiency in oral and written English is necessary. As the PhD student will be part of a multi-disciplinary team of experts in cancer biology, proteomics, bioinformatics and mathematics
-
phenotypes. In this PhD you will address this by a deep learning model of drug responses in cancer. The PhD position focuses on predicting cell type-specific drug responses, identifying transcriptional
-
for classification of lung cancer subtype based on the generated MS-data. Finally, the student will evaluate the applicability and value of the developed clinical proteomics methods in a clinical setting. The PhD
-
. The doctoral student project and the duties of the doctoral student This PhD project consists of both statistical methodology development and clinical application in the field of population-based cancer patient
-
the understanding of causes and consequences of health and disease, with a focus on neurological and neurodegenerative diseases, psychiatric disorders, and cancer. We strive to, through multidisciplinary approaches
-
of the doctoral student This PhD project consists of both statistical methodology development and clinical application in the field of population-based cancer patient survival. The overall aim is to evaluate biases
-
biomedical science. The department is among the largest of its type in Europe and has especially strong research profiles in psychiatric, cancer, reproductive, pediatric, pharmaco, genetic, and geriatric
-
responses to acute infections and cancer. Using a combination of several state-of-the-art single-cell technologies we strive to understand mechanisms underlying the generation, maintenance and consequences
-
of four years of full-time doctoral education is required. The research group The PhD student will be working in the Stina Wickström/Rolf Kiessling research group under the main supervision of Stina
-
biomedical science. The department is among the largest of its type in Europe and has especially strong research profiles in psychiatric, cancer, reproductive, pediatric, pharmaco, genetic, and geriatric