Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
-
) training personalized computational models in new contexts, and (iii) studying in-silico clinical intervention strategies. The postdoctoral fellow will have the opportunity to: Learn about computational
-
Extensive knowledge of relevant machine learning and AI techniques Self-motivated individual with ability to work independently Teaching and mentorship abilities or interests in personal development A
-
Join SciLifeLab PULSE (Program for future leaders in Life Science) to move your research career forward. Why PULSE? Empowering Diversity in Science: PULSE is committed to fostering diversity and
-
. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in time and space, how this affects
-
the Data-driven Life Science Fellows program. The group, led by Wei Ouyang, focuses on building AI systems for data-driven cell and molecular biology. We are seeking a postdoctoral researcher in cell biology
-
are essential to quality and form an integral part of KTH’s core values as a university and public authority. Learn more about our benefits and what it’s like to work and grow at KTH. Trade union representatives
-
. Selection criteria Essential PhD in computational biology, bioinformatics, or computer science with a focus on human gut microbiome data Excellent written and oral English communication skills. Significant
-
the last three years is considered an advantage. If there are special reasons, your degree may have been completed earlier. The ideal candidate holds a recent PhD in biophysics, computational biology
-
written English is required. The applicant should be capable of working both independently and as part of a team, with problem-solving skills and an openness to learning new methods. Assessment criteria