Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- University of Minnesota
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of North Carolina at Chapel Hill
- European Space Agency
- Princeton University
- Stanford University
- University of Oxford
- ;
- Technical University of Denmark
- AALTO UNIVERSITY
- Argonne
- Duke University
- Durham University
- Forschungszentrum Jülich
- Rutgers University
- The Ohio State University
- Aarhus University
- Aston University
- Baylor College of Medicine
- Harvard University
- Indiana University
- KINGS COLLEGE LONDON
- Linnaeus University
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- National Aeronautics and Space Administration (NASA)
- New York University
- Royal College of Art
- Technion - Israel Institute of Technology
- Texas A&M AgriLife
- The University of Arizona
- The University of Iowa
- Trinity College Dublin
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- Umeå University
- University College Cork
- University of Arkansas
- University of California, Merced
- University of Cincinnati
- University of Delaware
- University of Florida
- University of Houston Central Campus
- University of Liverpool
- University of Lund
- University of Luxembourg
- University of Michigan
- University of Oklahoma
- University of Oslo
- University of Southern California
- University of Twente
- University of Washington
- Vrije Universiteit Brussel
- Washington State University
- Washington University in St. Louis
- Yale University
- 46 more »
- « less
-
Field
-
for biological data analysis • Knowledge of tumor microenvironment and cancer immunotherapy concepts • Track record of peer-reviewed publications in relevant fields • Experience with cloud computing, version
-
, or computational biology Proficiency in Python and experience working in Linux-based HPC environments or cloud computing platforms Proven experience with deep learning frameworks such as PyTorch or TensorFlow, and
-
patients. You’ll use cloud computing and modern data science tools to analyze high-dimensional, time-resolved data from clinical environments. You’ll collaborate with faculty in AI, clinical informatics, and
-
environments, cloud computing, or GPU-accelerated machine learning Background in Monte Carlo Tree Search (MCTS) or reinforcement learning for sequence generation Familiarity with biological sequence alignment
-
access and outcomes in rural Minnesota and American Indian/Alaska Native (AI/AN) communities. In partnership with CentraCare, the regional campus in St. Cloud offers a wide range of patient experiences
-
; Experience in Cloud platforms with services like S3, Redshift is a plus Prior experience in coordinating scientific or EU-funded projects, ideally in translational research or platform development is an asset
-
diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
-
diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
-
, MATLAB) Strong knowledge of intelligent sensing, system integration, and cloud computing Demonstrated ability to produce high-quality research outputs Experience with collaborative research, ideally
-
methodologies. Understanding of integrating Bayesian approaches in NN-based model Knowledge of model deployments to cloud platforms or past work with AutoML tools. Knowledge of MLFlow for maintaining model