10 machine-learning "St" Postdoctoral positions in Sweden

Postdoc in neuroengineering

the following is of high merit: - knowledge of methods for data processing of EEG and fMRI data - knowledge of statistical modeling of time series and discrete-time data - knowledge in AI and machine learning

Postdoc in neuroengineering

of statistical modeling of time series and discrete-time data - knowledge in AI and machine learning - good programming skills in MATLAB, Python, R, etc - Scientific publications in high-impact international

Postdoctoral Researcher in Archaeology at the Center for the Human Past

doctoral students active on both campuses. Learn more about the Department here: https://www.uu.se/institution/arkeologi-och-antik-historia . Center for the Human Past The CHP is a pioneering initiative that

Postdoctoral position in Biomedical Engineering with focus on machine learning for organs-on-chip

initiated to explore how machine learning and the combination of different types of data (optical and electrical) can be utilized to improve decisions during on-going experiments as well as its potential

Postdoctoral position in multi-scale modelling of electrochemical interfaces in high-rate energy storage systems

applies finite-field density functional theory (DFT)-based and machine learning (ML)-accelerated molecular dynamics (MD) simulations recently developed and applied in the TeC group at Uppsala (https://tec

Postdoctoral position in in Distributed Machine Learning for Intrusion Detection Systems in the IoT

. Intrusion Detection Systems (IDS) are critical components of an effective IoT cybersecurity defense strategy and machine learning plays a pivotal role in intrusion detection by learning from past and

Post-doctoral researcher in IoT-based security for critical infrastructure

successful research and education in these areas - renewable energy sources, electric vehicles, industrial IoT, 5G/6G communication, machine learning and wireless sensor networks as well as smart electronic

Postdoc in renewable energy system analysis and battery performance monitoring

for storage of electric power is determined. Here also V2G and G2V is considered as well as stationary battery packs. To make this possible computer- and software-controlled systems are used. These can adapt to

Postdoc in renewable energy system analysis and battery performance monitoring

computer- and software-controlled systems are used. These can adapt to changing conditions and make decisions based on their inputs. Smart systems can incorporate artificial intelligence (AI) and other

Postdoctoral researcher in Computational Biology

translatable drug and therapeutic targets in human tissue cohorts. The team leverages technologies including spatial transcriptomics, single-cell sequencing, and machine learning. The person selected