22 machine learning positions in Finland

Postdoctoral Researcher in Computational Genomics and Machine Learning

Researcher to join the Machine Learning in Biomedicine group, in collaboration with the Precision Cancer Epigenomics group at NCMM, through the NORPOD program. Summary of the project Human tumors

Postdoctoral Researcher in bioimage informatics and machine learning

candidate to have a PhD degree from a relevant field with skills and experience in image analysis and machine learning. Familiarity with the volumetric microscopy image data and statistical methods

Finland PhD position in AI for atmoshpheric study

/news.html)Our goal is:1. use AIML approaches to accelerate atmospheric modeling.2. use AI models to understand global atmospheric chemistryWhat we are looking for:1. strong academic background in machine

AI Specialist for Institutional Research and Analysis

the University leadership by applying open-source solutions and the MS Azure environment to utilise AI and machine learning applications that draw on extensive datasets. You will monitor the development

Two Assistant or Associate Professors (tenure track) in Robotics

expertise in machine learning. Examples of areas of research that are a good fit for this position include active perception and understanding of complex and unstructured environments, interaction with

Doctoral Researcher in Process Metallurgy, Faculty of Technology

generated, part of the work will be to test various statistical data analysis methods and machine learning for efficient data analysis (e.g. regression analysis and image recognition). Based on the OES, image

Data Manager

/en ). Our team includes experts in machine learning, human genetics and epidemiology. Our team, together with the Finnish Institute for Health and Welfare, is leading the FinRegistry research project

Doctoral Researcher (Spatial Acoustic Scene Analysis and Machine Listening)

. REQUIREMENTS The applicant needs to have a master’s degree or equivalent in a field related to the position, such as computer science, signal processing, machine learning, media or communications technology, and

Postdoctoral researcher to join us in “Hydrogen Future as Climate Change Solution (H2FUTURE)” programme at the University of Oulu (Finland).

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

Doctoral Researcher to join us in “Hydrogen Future as Climate Change Solution (H2FUTURE)” programme at the University of Oulu (Finland).

embrittlement in high-strength steels. Different modelling (phase field modelling/artificial intelligence and machine learning approach) and experimental techniques could be utilized to get to relate