20 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" "St" scholarships at Linköping University in Sweden
Sort by
Refine Your Search
-
application! We invite applications for a fully funded PhD student position to join the research group of Andrew Winters to work on challenging problems in Computational Mathematics for accurate and reliable
-
=sv The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at https://liu.se/en
-
2026 - 12:00 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
-
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
-
/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
-
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
-
, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on methods that reduce compute, energy
-
, genetic manipulations, analysis of genomic rearrangements, telomere assays, and RNA sequencing. The activities include literature review, lab working and computational bioinformatics analysis. Your
-
), Institutionen för Biomedicinska och Kliniska vetenskaper (BKV ). The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies
-
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