Sort by
Refine Your Search
-
(life) sciences and English communication skills. A suitable candidate has: Doctoral degree in a relevant field, such as bioinformatics, ecology, or computational biology Ability to conduct high-quality
-
community. We are particularly interested in candidates with: Strong computational and bioinformatics expertise combined with interest in cancer biology and gene regulation. Background can be PhD or even MSc
-
health and chronic diseases and has developed methods for microbiome data science and bioinformatics. The postdoctoral researcher to be hired will also work as part of Prof. Kati Hanhineva's research group
-
. Essential qualifications PhD in computational statistics, bioinformatics, systems biology, or a related field. Strong expertise in statistical methods, including machine learning approaches, for analysis
-
and qualifications A PhD degree in computational biology, machine learning, computer science, data science, bioinformatics, or a related discipline Demonstrated machine learning experience in form
-
, data science, bioinformatics, or a related discipline Demonstrated machine learning experience in form of high-quality scientific publications, experience working with real-world health data is a plus
-
record Great quality interaction and communication skills. Additional merits .Experience with one or more of the following is considered as an advantage: single-cell omics, bioinformatics, bioimaging, flow
-
computing and quantum advantage is a prospective topic across four application domains: bioinformatics, breeding, biomaterial synthesis, and cellulose‑processing enzyme design. You will develop hybrid quantum