Sort by
Refine Your Search
-
, implement and benchmark machine learning models for large-scale health datasets consisting of diverse information including structured medical history, demographics, clinical notes, laboratory measurements
-
of diverse information including structured medical history, demographics, clinical notes, laboratory measurements, omics and genetics. Collaborate closely with other team members, and national/ international
-
them in scientific papers. Collaboration with other team members and supervision of MSc and PhD students are part of the work. The position has a trial period of 6 months. Requirements The ideal
-
among migrant workers and in the platform ecosystem in Finland to examine how labour evolves in a transformed landscape of data-driven realities, how hierarchical power structures influence labour agency
-
Motivated, ambitious and self-driven candidates with a PhD degree in a relevant field (chemistry or related) interested in metal recycling are encouraged to apply. Experience in the fields of coordination
-
, 2020, 2024 Pink salmon genetics: determining the genetic basis of successful invasion Use of long-term scale material to identify genomic regions and structural variation potentially associated with
-
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
-
institute. The employment of the PhD researcher must be full-time (100%) and continuous. Research or part of it can be conducted outside the University of Helsinki, for example, in a governmental research
-
to the climate crisis. We expect the successful candidate to have: completed a PhD in any area related to climate democracy, broadly defined, including humanities, social sciences, and/or natural sciences
-
, who is excited to contribute to an ambitious international research project. The successful applicant must have: A PhD (completed before the start of employment) in ecology, evolutionary biology