-
morphology imaging, and spatial transcriptomics—to identify altered cell states and mis-patterning events. The aim is to integrate computational and experimental approaches, including validation in vivo
-
researchers (for further information, please see: https://blogs.helsinki.fi/viikki-postdoc/ ). Application and selection procedure To apply, please send the following documents in a single pdf file: * A letter
-
approach that includes advanced bioimaging and image analysis, cell biology and genetics, and omics technologies. Qualifications We invite applications from candidates with a background in cell and
-
natural language processing techniques to analyze digital content such as images, videos, and textual content that relate to human-nature relationships, with a focus on data derived from digital platforms
-
investigation and will develop an advanced computer modeling framework. By simulating processes at various scales, from the atomistic to continuum, we aim to reveal how temperature and saturation fluctuations
-
experience and including a salary component based on personal performance. Standard Finnish pension benefits and occupational health care are provided for University employees. Selection process: Application
-
for separately: www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell . The requirements for pursuing a doctoral degree at the University of Helsinki can be found at https
-
information about the position may be obtained from Professor Suvi Keskinen, suvi.keskinen@helsinki.fi . Further information about the recruitment process can be obtained from HR Specialist Minna Toivonen hr
-
processes contributing to cancer. The candidate We seek a motivated candidate with a strong interest in computational cancer research, who is enthusiastic about applying deep learning methods to cancer data
-
regulatory processes contributing to cancer. The candidate We seek a highly motivated candidate with a track record of statistical models, network science, and/or computational tool development dedicated