Sort by
Refine Your Search
-
(e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. Applications are received via the university’s electronic recruitment system. It should
-
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 population registries and biobanks
-
knowledge or experience working with biological sequencing data is beneficial but not necessary. Feel free to email me if you have any question when preparing your application. About the DDLS PhD student
-
having passed exams in areas relevant to the subjects of image analysis and machine learning with a minimum of 90 higher education credits. Relevant courses include, for example, image processing, computer
-
and advanced time-resolved X-ray crystallography/ electron microscopy (cryo EM) on artificially activated hydrogenases to follow catalysis in the form of real time molecular movies. Solving protein
-
biology. The applicant should also have an interest in learning, or previous experience in, computer programming, particularly using languages such as Python. The ideal candidate is driven and a creative
-
will combine state-of-the-art computer vision, modeling and archived specimens to determine biotic and abiotic factors driving spatial variation in molt phenology. It will use museum genomics to recover
-
, electronic lab notebook systems (ELN), database management, and LIMS. About the employment This is a full-time, indefinite-term position with a six-month trial period. Stockholm University applies individual
-
at Doctoral studies at the Faculty of Medicine. Background and description of tasks The PhD student will use state-of the-art methods such as cryo-electron tomography of cells/tissues and biochemical
-
, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. To be a doctoral student means to devote oneself to a research