Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
are united in our efforts to understand, explain and improve our world and the human condition. About the workplace LUNARC is the centre for high-performance computing (HPC), visualisation, and storage at Lund
-
experiment at CERN. Together, the groups offer an international environment with a wide network of collaborators, generous support for conference travel, and access to national HPC resources (NAISS) and local
-
-learning frameworks, such as PyTorch, and high-performance computing (HPC) environments. Knowledge of molecular and cellular biology, systems biology, or precision medicine. Finally, a letter of intent
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Are you a highly motivated researcher with a passion for HPC and a drive
-
-learning frameworks, such as PyTorch, and high-performance computing (HPC) environments. Knowledge of molecular and cellular biology, systems biology, or precision medicine. Finally, a letter of intent
-
modeling, computational fluid dynamics (CFD), and high-performance computing (HPC). Analyze simulation results and publish findings in leading scientific journals and international conferences. Collaborate
-
pipelines, or tools are an advantage. experience working with clinical or cancer patient data is advantageous. experience with High Performance Computing (HPC) is an advantage. a solid background in cancer
-
them, and interpreted the output. You are comfortable on the Linux command line, on HPC clusters, and with scripting (Python or equivalent). You have the independence, and the stubbornness, to pursue a
-
-particle quantum systems. modeling work in collaboration with experiment. publications on research results obtained in the project. transfer of knowledge of HPC and code work in the group and taking care
-
University of Gothenburg/Department of Biological and Environmental Science | Sweden | about 1 month ago
of processing and analyzing high-throughput genomic data, spatial data (e.g., SDM), and/or big data (i.e., on an HPC cluster). Experience of working in a team. Willingness to mentor undergraduate students