215 natural-language-processing PhD scholarships in Sweden

PhD position in Remote Sensing for Integrative Forest Management

for multiple ecosystem services and nature conservation via the integrative approach). IFM combines productive forestry and biodiversity conservation by integrating existing practical and scientific knowledge

PhD student in Computing Science with focus on machine learning for continuous and discrete structures

learning for analysis and synthesis of human communication. Linköping University complements these aspects with in-depth knowledge of natural language processing. In addition to its scientific value

PhD student in computational microbial ecology

programming languages (e.g. python, SQL, bash, R) is desirable given the data-driven nature of the project. Formal training in bioinformatics, molecular evolution, and statistic are merits as well as documented

PhD student in computational microbial ecology

statistical, database management and scripting programming languages (e.g. python, SQL, bash, R) is desirable given the data-driven nature of the project. Formal training in bioinformatics, molecular evolution

PhD student in computational microbial ecology

programming languages (e.g. python, SQL, bash, R) is desirable given the data-driven nature of the project. Formal training in bioinformatics, molecular evolution, and statistic are merits as well as documented

PhD student position in geometric deep learning

. Application procedure The application should be marked with reference number 20240304 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size

PhD student in computational microbial ecology

programming languages (e.g. python, SQL, bash, R) is desirable given the data-driven nature of the project. Formal training in bioinformatics, molecular evolution, and statistic are merits as well as documented

PhD student position in geometric deep learning

Are you driven by the challenge of advancing the boundaries of machine learning and computer vision? Join the Computer Vision Group as a PhD student, and be at the forefront of groundbreaking

PhD student in Materials Science

of the oxidation of multicomponent thin films. The research task includes designing and performing time-resolved experiments of the oxidation process of thin films using synchrotron light-based techniques such as

PhD student in Geochemistry and Petrology focusing on novel Carbon Dioxide Removal technologies

. The University has more than 33,000 students, 1,600 doctoral students and 5,500 staff members active within the natural sciences and humanities. The Department of Geological Sciences is a department within the