94 machine-learning-phd Postdoctoral positions in Netherlands

PhD/Postdoc position on MV class solid-state, arbitrary waveform pulse sources

for this development, but will work in a team of other PhD candidates, postdocs and technicians that will assist. Finally, the full 0.7-MV prototype will be developed along similar lines and with all lessons learned

PhD/Postdoc position on MV class solid-state, arbitrary waveform pulse sources

Position PhD-student, (Post-doctoral) Researcher Irène Curie Fellowship No Department(s) Electrical Engineering Reference number V36.7438 Job description The Electrical Energy Systems (EES) group

Postdoc Data-driven Prediction of Human Body Motion in Automated Vehicles

following aspects will help you stand out: Knowledge of data-driven control algorithms, biomechanical modelling, system identification, machine learning, control theory. Prior experimental experience on human

Postdoc Computational science for energy materials (X/F/M)

addressing scientific and technological challenges. The primary technical responsibility of the candidate will be to create and apply generative machine-learning models for the inverse design of nanomaterials

2 Post-doc positions in RoboChem initiatives and solar-driven reactor techonology

background in synthetic organic chemistry, although expertise in other relevant fields such as chemical engineering, machine learning, automation, analytical chemistry, and programming (e.g., Python) are also

Postdoc Data-driven Prediction of Human Body Motion in Automated Vehicles

-driven control algorithms, biomechanical modelling, system identification, machine learning, control theory. Prior experimental experience on human body dynamics and motion comfort. A strong academit track

2 Post-doc positions in RoboChem initiatives and solar-driven reactor techonology

enthusiasm. Your experience and profile: We highly value candidates with a background in synthetic organic chemistry, although expertise in other relevant fields such as chemical engineering, machine learning

Postdoc Computational science for energy materials (X/F/M)

to engage in a research initiative focused on addressing scientific and technological challenges. The primary technical responsibility of the candidate will be to create and apply generative machine-learning

Postdoctoral researcher (postdoc) in AI for acoustic biodiversity monitoring

: PhD in one of the following fields, or closely related: machine learning, computer science, applied mathematics, statistics, signal processing, acoustics, bioacoustics Experience in training and

Postdoc in machine learning and reinforcement learning

learning. Requirements Specific Requirements a PhD in a relevant area of machine learning with either a focus on the fundamental aspects of machine learning or experience with healthcare data able