25 professor-computer "https:" "https:" "https:" "https:" "https:" "Universidade do Minho CTAC" PhD positions at Linköping University
Sort by
Refine Your Search
-
graduated at Master’s level in machine learning, statistics, computer science, fluid mechanics, or a related area that is considered relevant for the research topic of the project, or have completed courses
-
Sustainable Artificial Intelligence for Sciences (SAINTS) Lab (co-supervisor: Assistant Professor Raghavendra Selvan ) at the Department of Computer Science of the University of Copenhagen in Denmark. We will
-
postgraduate education within Medical Science. The employment When taking up the post, you will be admitted to the program for doctoral studies. In connection with your admission to the doctoral program, your
-
application! We are looking for a PhD student in Statistics and Machine Learning Your work assignments We are looking for a PhD candidate to work in the intersection of computational statistics and machine
-
application! We are announcing a PhD student position in Computer Science within CUGS Research School in a joint effort with Cybercampus Sweden , formally based at the division for Cybersecurity at Department
-
to the program for doctoral studies. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University The employment has a duration of normally four years’ full
-
17 Mar 2026 Job Information Organisation/Company Linköping University Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 13 Apr 2026 - 12:00 (UTC
-
/tensions between the global North and global South. We will also consider applicants focused primarily on Swedish/Nordic cases or topics. For full information of the five REMESO research streams see: https
-
, genetic manipulations, analysis of genomic rearrangements, telomere assays, and RNA sequencing. The activities include literature review, lab working and computational bioinformatics analysis. Your
-
induction. You will combine advanced genetic engineering approaches with survival assays, fluorescence-based techniques in fixed and live cells, single-cell sequencing, and computational bioinformatics