27 postdoc-machine-learning uni jobs in Netherlands

Postdoc/Research Scientist in Computational Physics and Machine Learning

formalizes the synergy between physics, information theory, and machine learning, particularly focusing on computing with Oscillatory Neural Networks (ONNs). Project The project aims to formalize the synergies

Cathodoluminescence tomography for semiconductor device inspection and analysis

structures like nanosheet transistors that are relevant for semiconductor manufacturing and uses tomographic techniques in combination with inverse design and machine learning tools. The aim is to determine

Postdoc Data- and Physics-based Identification of Soft Tissue Mechanics

-informed machine learning. You have excellent spoken and written English language skills*, and demonstrable collaborative, communicative and organizational competences. Affinity with inverse problems

Postdoc Data- and Physics-based Identification of Soft Tissue Mechanics

Join us on our quest to overcome a long-standing research challenge in soft tissue biomechanics through the combination of multi-modal experimental tissue testing data, machine learning and physics

ICT Developer / Data Analyst in Cognitive and Systems Neuroscience

and consciousness, and on hardware technology. The key objective of this position is to develop software (mostly written in Matlab and Python) and acquire hardware to support ongoing PhD and postdoc

Assistant professor in Artificial intelligence and Machine learning for Systems and Synthetic Biology (Tenure track)

own group with your own lines of research on AI and machine learning interacting with other scientists at SSB; you will set up collaborations and attract funding for PhD candidates and postdocs

Postdoc / Assistant Professor AI

has a PhD in AI, computer science, machine learning, data science, or a related field with a strong emphasis on AI in healthcare. The candidate has a clear research interest in the development and

Asst/ Assoc Professor in Control and Orchestration of Complex Optical Networks

network and data centers, the transmission link optimization at the physical layer, and the computing decentralized systems by exploiting state of the art machine learning approaches to ultimately implement

Assistant Professor Big Data Astronomy

learning techniques are increasingly required. The Radboud astrophysics group has extensive expertise, for example in star and stellar-population models; machine-learning techniques for the extraction

Postdoc on Physical Layer Security for Free-Space Optical Satellite Channels

. Main areas of interest are source coding, channel coding, multi-user information theory, security, and machine learning. We typically use information-theoretical frameworks to model the scenarios under