Project title: Data abstractions as the foundation of machine self-learning from different data sources
Publication date: 22.10.2021
Closing date: 31.12.2021
Level of education: Master's degree
Hours: 40 hours per week
Salary indication: up to 8000 PLN gross monthly
Sano: Dr. Jose Sousa (Research Group Leader – Personal Health Data Science)
Project start: January 2022 (depending on candidate’s availability)
Data is at the forefront of any process of decision making, as if there was any doubt, the actual pandemic made it clear. Data collection happens every day with individual contribution from browsing keywords to the sharing of images and feelings. This created a promised that if you collect enough data to generate big data, machines will be able to model the world and provide unique insights. However, the reality is not perfect and collecting “all the data” to describe a problem is impossible within a chaotic reality. One of the most promising approaches to the development of personalized medicine became siloed in machine learning applied to single diseases because of the difficulty on accessing and integrating data sources. This is closed related and defines the evolution of the actual approaches on machine learning.
Within this PhD, algorithms will be built to develop data abstraction in the local systems and upload them to the machine self-learning environment. This would allow the integration of different data sources in a way not done until now allowing the evolution of machine learning.
The project will be carried out in cooperation in computer scientists and machine learning from Sano and its partners and data sources providers such as polish hospitals and develop collaborations to explore data repositories in the UK and in Europe.
What are you going to do?
You are expected to:
- do original research in this field under the direction of the supervisor;
- participate in the many seminars by internal and external speakers as well as journal clubs and group activities;
- collaborate with other PhD candidates, postdoctoral researchers and other Sano employees.
Ph D Student Genomic Radiomic Assisted Machine Learning Based Models, The Netherlands Cancer Institute, Netherlands, 3 days ago
Genomic-radiomic assisted machine learning-based models to enable patient outcome prediction for personalized treatment in head and neck squamous cell cancer. The rise of artificial intelligence m...
Ph D Student In Machine Learning For Scenario Exploration In The Field Of Emotional And Behavioural Modelling, Technical University of Denmark, Denmark, about 8 hours ago
DTU Management’s Transport Division would like to invite applications for a 3-year PhD position starting no later than 1 June 2022. The successful candidate will join the Machine Learning for Smar...
Ph D For Investigating Robust And Reliable Artificial Intelligence For Oncology, Eindhoven University of Technology (TU/e), Netherlands, 3 days ago
Background Early detection, accurate diagnosis/staging of cancer, and subsequent selection of the appropriate treatment are critical factors to improve patient outcomes. Diagnostic imaging plays a...
Postdoctoral Position In Deep Learning Based Sparse View Tomography, Uppsala University, Sweden, 4 days ago
Published: 2022-01-10 Uppsala University is a comprehensive research-intensive university with a strong international standing. Our ultimate goal is to conduct education and research of the highe...
Ph D Student In Machine Learning, Vrije Universiteit Amsterdam, Netherlands, 11 days ago
Are you willing to become a researcher in machine learning, and do you want to contribute to shaping the future of data science techniques and applications with an eye on society? Then Vrije Unive...
Ph D Position In The Machine Learning And Information Processing Group On Dna Data Storage , Technical University of Munich, Germany, about 21 hours ago
31.12.2021, Wissenschaftliches Personal Stellenanzeigen sollen von den jeweiligen Einrichtungen selbst eingetragen werden. Dazu sind Mitarbeiterrechte im Portal erforderlich. Dies ist bei allen in...