Sort by
Refine Your Search
-
genomic and transcriptomic data using Linux-based environments and R statistical programming Ability to work in a collaborative team in an international research environment Strong knowledge of English
-
degree in a subject relevant to the project A strong background in mathematics Knowledge of machine learning Experience with natural language processing (NLP) and computer vision (CV) Ability to work in a
-
biology, computer science or a closely related field that the employer deems adequate for the position good ability in a scripting language such as R or Python, as well as working effectively in a Linux
-
spoken and written professional English is further essential, likewise is the ability to teach effectively in English or Swedish expected. Proficiency in medical image processing, image registration, 3D
-
The applicant must hold a master’s degree in biology, chemistry, pharmacy, physics, computer science or within another subject which the employer considers to be equivalent. The applicant must have good ability
-
. The precision medicine research is expected to make use of existing strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and
-
assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. The work aims at improving prostate
-
. The precision medicine research is expected to make use of existing strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and
-
precision medicine is expected to use existing strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging techniques, electronic healthcare data, longitudinal patient and population
-
, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. In this PhD project, we will use proteomic and genetic data from