Sort by
Refine Your Search
-
Listed
-
Employer
- Poznan University of Technology
- AGH University of Krakow
- Institute of Physical Chemistry, Polish Academy of Sciences
- National Centre for Nuclear Research
- Nencki Institute of Experimental Biology
- University of Agriculture in Krakow
- University of Warsaw: Faculty of Mathematics, Informatics and Mechanics
-
Field
-
Description The National Centre for Nuclear Research opens the competition for Post-doc position in condensed matter physics/ computational materials science/ machine learning Localization: National Centre
-
Skills/Qualifications The candidate must possess a Ph.D. degree in robotics or related disciplines, such as computer science. Experience should be related to perception and machine learning, with a focus
-
recordings, strong MATLAB and or Python programming skills – single-neuron sorting (Preference for Osort software), signal analysis, statistics, machine learning, exceptional motivation for the scientific
-
requirements: experience in conducting research using machine learning techniques, supported by a body of research evidence through publications in international journals and conference proceedings; experience
-
the Institute of Robotics and Machine Intelligence at Poznan University of Technology. We offer full-time position with a fixed term contract. The PostDoc will join our team in learnINg versaTile lEgged
-
subclones and their immune microenvironment inultra-high spatial and molecular resolution” Computational Oncology and Machine Learning Principal Investigator: dr Ewa Szczurek The National Science Center
-
tomography. Advanced image analysis tools, including machine learning (ML)-based tools, will be used to analyse the resulting datasets. Notably, we propose developing quasi-live and offline image analysis
-
aims to leverage remote techniques such as Satellite Radar Interferometry (InSAR), Numerical Modelling (NM) and Machine Learning (ML) to understand sinkhole formation physics and effectively detect