Sort by
Refine Your Search
-
to the development of reproducible analysis workflows and pipelines. You have a PhD in bioinformatics, computational biology, data science, computer science, genetics or other relevant field. You have successfully
-
-kandiohjelma ; https://www.helsinki.fi/en/degree-programmes/genetics-and-molecular-biosciences-masters-programme/studying ; https://www.helsinki.fi/en/degree-programmes/neuroscience-masters-programme ). An
-
patient samples for the University of Helsinki’s iCAN flagship project. FIMM also hosts the Academy of Finland’s Center of Excellence in Complex Disease Genetics, a collaborative program of computational
-
patient samples for the University of Helsinki’s iCAN flagship project. FIMM also hosts the Academy of Finland’s Center of Excellence in Complex Disease Genetics , a collaborative program of computational
-
intersection of computational biology, biotechnology, and precision medicine. You will contribute to the development of innovative bioinformatics tools and perform in-depth analysis of cutting-edge datasets
-
Devices (QCD) group at the Department of Applied Physics. In this position you have a chance to make history by demonstrating some of the first experiments of the future quantum-computer technology that is
-
research group and establish an ambitious research program in the burgeoning research field of Living State Physics. The new professor shall actively engage in education in this field at the NBE department
-
competencies. Role Requirements A Master’s or Doctoral degree preferably in psychology, cognitive science, computer science, or a related field. Meticulous work ethic and excellent time management. Prior
-
. The role includes teaching in the Bachelor’s Programme in the Languages and Literatures of Finland, the Master’s Programme in Finnish and Finno-Ugrian Studies, the Master’s Programme in Linguistic Diversity
-
forest sciences degree programs and in the university-level Liberal Arts and Sciences (LAS) program. The Department of Forest Sciences offers the LAS program "Resource management of global forests" study