28 machine learning Postdoctoral positions in Switzerland

Postdoctoral Researcher in Explainable Machine Learning for Health Status Monitoring and Modelling

for a closed-loop decision support system that can be verified in rehabilitation in many health conditions. This position is open for a postdoctoral researcher in the field of transparent machine learning

Post-doctoral Position in Machine Learning for Engineering Design

position in the area of Machine Learning for Engineering Design under the guidance of Prof. Mark Fuge, the Chair of Artificial Intelligence in Engineering Design. The general area of the laboratory covers

Postdoctoral Researcher in Generative AI for Mechanism Design

 machine learning to develop an automated design process of mechanical walking aids, analyse gait patterns and make biomechanical simulations embedded in the generative mechanism design process. In

PostDoc in Molecular Imaging & Biology or Radiopharmacy

revolutionizing image reconstruction and analysis with state-of-the-art machine learning techniques. Ultimately, we aim to provide personalized diagnosis and therapy for optimal patient outcomes. Job Summary We

Doctoral researcher in Dynamic stochastic learning of train dynamics as enabler to highly automated train operation

variability described in the data by means of uncertainty aware calibration and Bayesian estimation Include how experts currently operate and acquire feelings for the machine they are driving, also based on a

Postdoctoral Position at the Chair of Circular Engineering for Architecture

construction or related fields Knowledge and experience in data analysis and database management, as well as emerging technologies applied to the construction sector, such as BIM, scanning, machine learning

Open PostDoc Positions in Computer Science, Medicine, Biology, Radiopharmarmacy, Medical Physics, Biomedical Engineering

characterisation of diagnostic and therapeutic tracers Tumour imaging, clinical oncology and data analysis Semiconductor detectors, nuclear physics and Monte Carlo simulation Machine learning, deep learning and

Research Assistant in Generative AI for Morphology Optimization of Assistive Devices

 (or shortly thereafter). Project background The goal of this project is to leverage advanced machine learning to develop an automated design process of mechanical walking aids, analyse gait patterns and

Postdoctoral Researcher in Controls for Robotic Machining

, machine learning, modeling, and custom hardware, we test our solutions in various real-world projects with industry. Project background We foster a culture of continuous improvement, transparency, and no BS

Postdoctoral position in Computational biology / Data Science

, programming and statistical evaluation Machine learning analyses: implementation of established and new workflows Coordination of activities with Consortium partners, including presentation of results