46 cloud-computing-"https:" "https:" "https:" "https:" positions at Linköping University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
competitive advantage (https://liu.se/en/research/cbmi ). You will work under the supervision of Professors Christian Kowalkowski and Daniel Kindström. Research at IEI spans a broad range of areas, from
-
or data science, with suitable specialization, in medical physics with a sufficient portion of mathematics included, or other related scientific areas. You have good skills in computer programming. A strong
-
NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
-
, 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
-
Management Lab (KDMLAB) of the Department of Computer and Information Science at Linköping University. The department is one of the largest computer science departments in northern Europe, with research
-
different backgrounds. This position requires that you have graduated at Master’s level in in computer science, media technology, computer engineering, human-computer interaction, visual learning and
-
well as vendors of job advertisements. URL to this page https://web103.reachmee.com/ext/I011/853/main?site=7&validator=d7a66c13be778ef950c393a904293789&lang=UK&rmpage=job&rmjob=28613&rmlang=UK
-
, where AI models are trained without having all data in a single computer. This makes it possible to use larger datasets for training, without sending sensitive data between hospitals. The goal is to