Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
, including how DNAme potentially drives trait variation and how it responds to the environment. We will use machine learning tools to perform high-throughput phenotyping of birch leaves – specifically stomatal
-
with a background in Language Technology, Machine Learning, or Language Typology who are interested in automatic classification and analysis of hundreds of languages to undertake a PhD project exploring
-
2 Oct 2025 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Technology Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country Finland Application
-
Department of Computer Science of Faculty of Science invites applications for a DOCTORAL RESEARCHER IN MACHINE-LEARNING, STATISTICS AND DATA-CENTRIC ENGINEERING starting from November 2025, or as
-
computer science at the University of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning
-
learning tools to recommend reaction conditions for the synthesis of novel TRPA1 inhibitors. The project “A machine learning approach to computer assisted drug design” is led by Docent Juri Timonen
-
) , University of Helsinki, is currently seeking a highly-motivated doctoral researcher to join our interdisciplinary team. Project overview We develop and apply advanced machine models to analyze health data from
-
The Machine Learning for Health team in the Data Science and Genetic Epidemiology Lab at the Institute for Molecular Medicine Finland (FIMM) , University of Helsinki, is currently seeking a highly
-
26 Aug 2025 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Chemistry Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country Finland Application
-
) and Prof. Graham Taylor (machine learning). The University of Helsinki is an international scientific community of 40,000 students and researchers. It is considered one of the leading multidisciplinary