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YOUR FUTURE RESPONSIBILITIES Silicon Austria Labs (SAL) is looking for a Master student for a 6 month contract. This role is generally responsible for the design and implementation of FPGA systems under the guidance of a senior member of staff. Th...
Job descriptionThe Semantics, Cybersecurity and Services (SCS) group at the University of Twente is looking for a full-time PhD to join the research team, working on Software Security. The position...
1 - Working at the VUBFor more than 50 years, the Vrije Universiteit Brussel has stood for freedom, equality and solidarity, and this is very much alive on our campuses among students and staff alike. At the VUB, you will find a diverse collectio...
Job no: 498624Department: EngineeringContract type: ContractAs a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets...
The PhD position is supervised by Prof. F. Feppon (Numerical Analysis and Applied Mathematics Section, NUMA, Department of Computer Science) and co-supervised by Prof. Panos Patrinos (Department of...
With nearly 4,000 students in nine topic areas, the St. Pölten University of Applied Sciences is a key player in the Austrian higher education sector and one of the most important employers in the region. The St. Pölten UAS stands for unique creat...
Gran Sasso Science Institute has published the new call for the 40th cycle of the PhD. 42 scholarships are available (one more than last year), for the four academic programmes: 10 for Astroparticle Physics, 10 for Computer Science and 10 for Regi...
Job descriptionThe PDC Center for High Performance computing at KTH, is a supercomputing center for academic research in Sweden. We have the currently fastest academic supercomputer in Sweden, Dard...
The Leibniz Institute on Aging – Fritz Lipmann Institute (FLI) in Jena is a federal and state government-funded research institute and member of the Leibniz Association (Leibniz-Gemeinschaft). FLI’s internationally visible and highly competitive r...
ArbetsuppgifterPDC, Parallelldatorcentrum vid KTH är ett superdatorcenter för akademisk forskning i Sverige som driver den för närvarande snabbaste akademiska superdatorn i Sverige, Dardel, en 8,2...
Job descriptionThis doctoral research will be at the intersection of sparsity and artificial intelligence. The research will investigate the potential of sparse-to-sparse training of deep neural ne...
Sapere Aude—dare to be wise—is our motto. Our students and employees develop knowledge and expertise that enrich both people and the world around them. Our academic environment is characterised by ...
Sapere Aude – våga vara vis – är vårt motto. Våra studenter och medarbetare utvecklar kunskap och kompetens som berikar individen och världen. Vår akademiska miljö präglas av nyfikenhet, mod och ut...
Supervisors:Fatiha Bendali, Jean Mailfert 1, Christophe Cariou, Laure Moiroux-Arvis 2, Juan José Salazar González 3.TopicThe automated monitoring of agricultural fields is increasingly using underground wireless sensors designed to collect local v...
Job descriptionYou will work in the project ”Simulator-Embedded Nonlinear Programming for Optimized Process Design and Decision support”, which is a collaboration between KTH and LKAB. LKAB is an i...
ArbetsuppgifterDu kommer att bedriva akademisk industrinära forskning inom projektet ”Simulator-Embedded Nonlinear Programming for Optimized Process Design and Decision support” vilket är ett samar...
About the jobThe postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions.We have two 3-year positions in the ExMilk project (Exercised Breastmilk: A kick-start for childhood ...
Job description:Applications are open until May 15, 2024, for a post-doctoral fellowship to conduct research on Machine Learning applied to Industry 4.0 at the IAsmin project (https://plataformaiasmin.org.br/).The research will be developed at the...
Job descriptionThe main goals of this PhD project are: Develop novel sparse training algorithms that improve the scalability and energy efficiency of deep neural networks. Investigate the mathemati...
Job descriptionThe successful candidate will be involved in cutting-edge research aimed at developing scalable sparse deep learning models that are not only powerful but also energy-efficient. This...