Sort by
Refine Your Search
-
Program
-
Employer
- University of Helsinki
- UNIVERSITY OF HELSINKI
- University of Jyväskylä
- University of Oulu
- AALTO UNIVERSITY
- University of Turku
- Aalto University
- Tampere University
- Itä-Suomen yliopisto
- KHALIFA UNIVERSITY
- Lappeenranta-Lahti University of Technology
- TAMPERE UNIVERSITY
- Åbo Akademi University
- 3 more »
- « less
-
Field
-
and associate the findings to clinical data using machine learning. The postdoctoral fellow will perform studies on the metabolism of healthy intestinal cells and tumour initiating cells using state
-
research and education. Our university community has its competitive edges in technology, health and society. www.tuni.fi/en Intelligent Work Machines (IWM) Doctoral Program is looking for Doctoral
-
research and education. Our university community has its competitive edges in technology, health and society. www.tuni.fi/en Intelligent Work Machines (IWM) Doctoral Program is looking for Doctoral
-
, this project will focus on ensuring that the computational approaches measure what they’re supposed to measure. This includes fine-tuning machine-learning methods to capture different types of change, as
-
of hydrogen-induced embrittlement in high-strength steels. Different modelling (phase field modelling/artificial intelligence and machine learning approach) and experimental techniques could be utilized to get
-
» Mechanical engineering Engineering » Biomedical engineering Engineering » Control engineering Engineering » Computer engineering Engineering Researcher Profile First Stage Researcher (R1) Country Finland
-
to conduct academic research and obtain a PhD degree. You must have a master’s degree in either electrical engineering, control / automation, mechatronics, computer engineering / computer science, bio(medical
-
of Helsinki (Finland) PhD: PhD in Digital Humanities or Intellectual History Main supervisor: prof. Mikko Tolonen (University of Helsinki, Faculty of Arts, Digital Humanities) Second supervisor: prof. Eetu
-
. The positions focus on computational microbiome research. The applicants are expected to support the research group’s activities, develop and apply statistical, data science, and machine learning methods in
-
motivated to conduct academic research and obtain a PhD degree. You must have a master’s degree in either electrical engineering, control / automation, mechatronics, computer engineering / computer