Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Tampere University
- University of Oulu
- UNIVERSITY OF HELSINKI
- University of Helsinki
- University of Jyväskylä
- AALTO UNIVERSITY
- Itä-Suomen yliopisto
- University of Turku
- LUT University
- Aalto University
- The Institute for Molecular Medicine Finland (FIMM) at University of Helsinki
- VTT
- KHALIFA UNIVERSITY
- Lappeenranta-Lahti University of Technology
- TAMPERE UNIVERSITY
- Åbo Akademi University
- 6 more »
- « less
-
Field
-
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
-
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
-
: By including machine learning methods for interpreting human emotions, intentions, preferences, and decision-making, it analyses facial expressions, body behaviors, and physiological signals Endowing
-
understand each other in the following ways: By including machine learning methods for interpreting human emotions, intentions, preferences, and decision-making, it analyses facial expressions, body behaviors
-
machine learning (ML) algorithms for evolving ultra-massive MIMO scenario in the context of distributed/Cell Free MIMO with the objective to provision automated solutions for radio resource management
-
/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
-
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
-
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
-
. This design research topic takes the employee perspective on designing intelligent machines for hybrid teamwork. 6. Learning for provably safe and robust robotic systems Modern data-driven techniques have
-
dynamics, control theory, software technologies, real-time computing, human-machine interaction, communication, vehicle engineering, machine learning, robotic learning, and business models related