37 machine-learning-phd positions in Austria

Researcher with/without PhD for 1.5 years: avalanche detection by machine learning at Uni Graz, Austria

PhD in remote sensing, geophysics, computer vision, machine-learning, geography or similar Experience in handling netcdf and shapefiles in Python (xarray, geopandas) Experience in image segmentation and

Postdoctoral Researcher in Natural Language Processing

of Philological and Cultural Studies, with several interdisciplinary PhD and Postdoc positions in the areas of machine learning for natural language processing and computational linguistics. Possible research

Postdoctoral Associate

of radiological and histological images. Their work includes applying machine learning and artificial intelligence for tasks such as predicting treatment responses in different types of cancers and automated image

University assistant predoctoral

able to teach in German within three years from the signing of the contract Advanced computer skills are desirable. Ability to work in a team. Organisational skills. Additional Information Benefits What

PhD in computational pathology (3 years, fulltime)

Sciences (80%); Medical-Theoretical Sciences, Pharmacy (10%); Veterinary Medicine (10%) Keywords Mitosis detection, Computer-aided pathology, Machine Learning, Deep Learning, Dataset, Tumor Research in

University Assistant (PhD position)

Learning •    research in the area of Robotics, Computer Vision and Machine Learning •    teaching •    student supervision and scientific publications •    administrative tasks •    ongoing training

University Assistant (PhD position)

Learning •    research in the area of Robotics, Computer Vision and Machine Learning •    teaching •    student supervision and scientific publications •    administrative tasks •    ongoing training

University Assistant (PhD position)

and Machine Learning •    research in the area of Robotics, Computer Vision and Machine Learning •    teaching •    student supervision and scientific publications •    administrative tasks •    ongoing

Tenure Track Professorship for the field of High Voltage Engineering

disciplines relevant for the position. Outstanding scientific qualification and relevant doctorate in the field of high-voltage engineering Experience in the application of machine learning in power engineering

PHD STUDENT POSITION (F/M/X)

/ 30h per week) This position is associated with the WWTF project "ANIML – Analysis of Nonhuman Intercommunication with Machine Learning", in which state-of-the-art signal processing and machine learning