Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- Spain
- United Kingdom
- France
- Sweden
- Portugal
- Austria
- Czech
- Denmark
- Netherlands
- Australia
- Poland
- Canada
- Hong Kong
- Italy
- Norway
- Estonia
- Finland
- Switzerland
- Ireland
- Luxembourg
- Morocco
- New Zealand
- Saudi Arabia
- United Arab Emirates
- Belgium
- China
- Croatia
- Greece
- Israel
- Japan
- Latvia
- Lithuania
- Malaysia
- Singapore
- South Africa
- 27 more »
- « less
-
Program
-
Field
-
. Julios Saez-Rodriguez at the European Bioinformatics Institute (EBI) as part of ProtAIomics, a Horizon Europe MSCA Doctoral Network (https://www.protaiomics.eu/ ). In this project, we will design a
-
bioinformatics pipelines (e.g., using Snakemake or Nextflow), experience with HPC environments, knowledge of machine learning, and an interest in large language models (LLMs) would be highly advantageous. Terms
-
di Torino, IMT Lucca), key industrial players (Leonardo), and access to CINECA’s HPC infrastructure through the national AI Factory. Call for Founding Heads of R&D Labs AI4I is launching the second
-
some design. Excellent communication skills, experience in using HPC systems and scripting, and UDF writing, would be advantageous. About Us As a specialist postgraduate university, Cranfield’s world
-
(HPC) Cluster: ~4000 CPU cores with 5 TB RAM, suitable for high I/O and large memory workloads. Mass Data Storage: 2.5 PB of networked storage, plus an additional 150 TB high-speed SSD storage for fast
-
Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 2 months ago
External Tasks for HPC/ML In Transit Workflows, Amal Gueroudji, Julien Bigot, Bruno Raffin, Robert Ross. Work workshop at Supercomputing 23. https://hal.science/hal-04409157v1 Damaris: How to Efficiently
-
, which has real scientific impact, and is interested in learning or improving their skills in web technologies, big data, and HPC. Additionally, you will demonstrate the following: Essential Criteria: A
-
the comprehensive rewards package. The Cardinal at Work website ( https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford’s extensive range of benefits and rewards offered
-
, Kubernetes, etc.), and familiarity with HPC environments. Experience with geospatial libraries (GDAL/OGR, OTB, GeoPandas, PySTAC, etc.) and machine learning frameworks(Scikit Learn, Keras/TF, PyTorch, etc
-
their computational, data storage, networking, specialized hardware, software, and service requirements; recommend and facilitate access to appropriate IT solutions, including high-performance computing (HPC) clusters