... HPC clusters, cloud computing, or GPU acceleration • Strong mathematical background in linear algebra, probability, and statistics • Prior research experience with publications or preprints.
... HPC clusters, cloud computing, or GPU acceleration • Strong mathematical background in linear algebra, probability, and statistics • Prior research experience with publications or preprints.
We are seeking a highly motivated Postdoctoral Associate to join our bioinformatics research lab ... Experience with HPC clusters , cloud computing, or GPU acceleration. * Strong mathematical ...
We are seeking a highly motivated Postdoctoral Associate to join our bioinformatics research lab ... Experience with HPC clusters , cloud computing, or GPU acceleration. * Strong mathematical ...
We are seeking a highly motivated Postdoctoral Associate to join our bioinformatics research lab ... Experience with HPC clusters , cloud computing, or GPU acceleration. * Strong mathematical ...
We are seeking a highly motivated Postdoctoral Associate to join our bioinformatics research lab ... Experience with HPC clusters , cloud computing, or GPU acceleration. * Strong mathematical ...
... on-premise HPC environments, national research computing resources, and cloud environments ... postdoctoral positions, undergraduate positions, visiting assistant professors, and visiting ...
New
... on-premise HPC environments, national research computing resources, and cloud environments ... postdoctoral positions, undergraduate positions, visiting assistant professors, and visiting ...
New
... on-premise HPC environments, national research computing resources, and cloud environments ... postdoctoral positions, undergraduate positions, visiting assistant professors, and visiting ...
New
... on-premise HPC environments, national research computing resources, and cloud environments ... postdoctoral positions, undergraduate positions, visiting assistant professors, and visiting ...
New
... on-premise HPC environments, national research computing resources, and cloud environments ... postdoctoral positions, undergraduate positions, visiting assistant professors, and visiting ...
New
... on-premise HPC environments, national research computing resources, and cloud environments ... postdoctoral positions, undergraduate positions, visiting assistant professors, and visiting ...
New
High-performance computing (HPC) and scalable AI pipelines * Development of reproducible software ... Mentor graduate students, postdoctoral fellows, research staff, and trainees. Expected Salary:
High-performance computing (HPC) and scalable AI pipelines * Development of reproducible software ... Mentor graduate students, postdoctoral fellows, research staff, and trainees. Expected Salary:
Hpc Postdoc information
What is an HPC postdoc?
HPC Postdocs, or High Performance Computing Postdoctoral Researchers, are scientists who have completed their PhD and are conducting advanced research that leverages powerful computational systems to solve complex problems. They often work at universities, research institutes, or national laboratories, focusing on developing new algorithms, optimizing code for supercomputers, or applying computational methods to scientific challenges. HPC Postdocs collaborate with interdisciplinary teams and may also provide support or training in HPC techniques for other researchers. Their work is essential for pushing the boundaries of science in fields such as physics, climate modeling, computational biology, and engineering.
What skills and qualifications are needed to thrive as an HPC postdoc?
To thrive as an HPC Postdoc, you need advanced knowledge in computational science, parallel programming, and a relevant doctoral degree, often in fields like physics, computer science, or engineering. Expertise in programming languages (such as C/C++, Fortran, Python), experience with high-performance computing systems, and familiarity with tools like MPI, OpenMP, or GPU computing frameworks are typically required. Strong analytical thinking, problem-solving, and collaboration skills set outstanding candidates apart in research environments. These competencies are crucial for conducting cutting-edge research, optimizing complex simulations, and advancing scientific discovery using supercomputing resources.
What are common challenges faced by an HPC postdoc when optimizing scientific applications for supercomputing environments?
HPC Postdocs often encounter the challenge of adapting complex scientific codes to efficiently utilize advanced supercomputing architectures. This may involve addressing issues such as parallel scalability, memory bottlenecks, and compatibility with different hardware or software environments. Collaborating closely with domain scientists, software engineers, and IT staff is essential to troubleshoot performance issues and implement effective solutions. Staying up-to-date with emerging HPC technologies and optimization techniques is also crucial for success in this role.
What are popular job titles related to Hpc Postdoc jobs in Florida?
For Hpc Postdoc jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Hpc Postdoc jobs in Florida look for?
The top searched job categories for Hpc Postdoc jobs in Florida are:
- Social Science Research Associate
- Full Time Aquaculture Research
- Volunteer Electrical Engineering Postdoctoral Research
- Visiting Research Fellow
- Soil Microbial Ecology
- Research Station
- Postdoctoral Food Microbiology
- Volunteer Postdoctoral Psychology
- Postdoctoral Researcher Genomics
- Cryo Et Postdoctoral Position
Full-time
Re-posted 2 days ago
University Of Miami rating
7.7
Based on 52 frontline employees who took The Breakroom Quiz
260th of 618 rated colleges and universities
Job description
Job Summary:
The University of Miami is seeking a highly motivated Postdoctoral Associate to join their bioinformatics research lab at the UHealth campus in Miami, FL. The successful candidate will work at the intersection of computational biology, genomics, machine learning, and data science, focusing on the development and evaluation of advanced algorithms for analyzing large-scale biological datasets.
Responsibilities:
• Develop, implement, and evaluate machine learning and deep learning models for biological data analysis
• Work with large-scale datasets such as:
• Genomics / transcriptomics (bulk, single-cell, spatial)
• Epigenomics, proteomics, or multi-omics data
• Design data preprocessing, feature engineering pipelines.
• Implement models in Python using frameworks such as PyTorch, TensorFlow.
• Perform statistical analyses and model benchmarking against existing methods.
• Collaborate with wet-lab scientists and domain experts to interpret results.
• Contribute to manuscripts, conference abstracts, and presentations.
Qualifications:
Required:
• Ph.D in Computer Science, Bioinformatics, Computational Biology, Data Science, or a related field
• Strong programming skills in Python, R
• Solid understanding of: Machine learning fundamentals, Deep learning architecture (e.g., CNNs, RNNs, Transformers), Optimization and model evaluation, Knowledge in biology and genomics
• Experience working with large datasets and numerical computing libraries (NumPy, Pandas, SciPy)
• Familiarity with Linux environments, version control (Git), cloud computing.
Preferred:
• Prior experience in bioinformatics or computational biology
• Experience with one or more of the following: Single-cell or spatial omics analysis, DNA Methylation analysis, Graph neural networks, Generative models (VAEs, diffusion models), Multi-modal learning
• Knowledge of bioinformatics tools and data formats (FASTQ, BAM, VCF, H5AD, AnnData, Seurat, etc.)
• Experience with HPC clusters, cloud computing, or GPU acceleration
• Strong mathematical background in linear algebra, probability, and statistics
• Prior research experience with publications or preprints.
Company:
University of Miami is a public research university that provides undergraduate, graduate, and professional degree programs. Founded in 1925, the company is headquartered in Coral Gables, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
The University of Miami is seeking a highly motivated Postdoctoral Associate to join their bioinformatics research lab at the UHealth campus in Miami, FL. The successful candidate will work at the intersection of computational biology, genomics, machine learning, and data science, focusing on the development and evaluation of advanced algorithms for analyzing large-scale biological datasets.
Responsibilities:
• Develop, implement, and evaluate machine learning and deep learning models for biological data analysis
• Work with large-scale datasets such as:
• Genomics / transcriptomics (bulk, single-cell, spatial)
• Epigenomics, proteomics, or multi-omics data
• Design data preprocessing, feature engineering pipelines.
• Implement models in Python using frameworks such as PyTorch, TensorFlow.
• Perform statistical analyses and model benchmarking against existing methods.
• Collaborate with wet-lab scientists and domain experts to interpret results.
• Contribute to manuscripts, conference abstracts, and presentations.
Qualifications:
Required:
• Ph.D in Computer Science, Bioinformatics, Computational Biology, Data Science, or a related field
• Strong programming skills in Python, R
• Solid understanding of: Machine learning fundamentals, Deep learning architecture (e.g., CNNs, RNNs, Transformers), Optimization and model evaluation, Knowledge in biology and genomics
• Experience working with large datasets and numerical computing libraries (NumPy, Pandas, SciPy)
• Familiarity with Linux environments, version control (Git), cloud computing.
Preferred:
• Prior experience in bioinformatics or computational biology
• Experience with one or more of the following: Single-cell or spatial omics analysis, DNA Methylation analysis, Graph neural networks, Generative models (VAEs, diffusion models), Multi-modal learning
• Knowledge of bioinformatics tools and data formats (FASTQ, BAM, VCF, H5AD, AnnData, Seurat, etc.)
• Experience with HPC clusters, cloud computing, or GPU acceleration
• Strong mathematical background in linear algebra, probability, and statistics
• Prior research experience with publications or preprints.
Company:
University of Miami is a public research university that provides undergraduate, graduate, and professional degree programs. Founded in 1925, the company is headquartered in Coral Gables, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
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About University of Miami
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The University of Miami, located in the beautiful Coral Gables, Florida, is a comprehensive, private research institution in the United States. Operating within the higher education industry, the institution offers a multitude of degree programs spanning over 180 majors and program through its 12 colleges. The University was founded in 1925 with the mission to disseminate knowledge, transform lives, and change the world - a mission it has held faithfully to this day. Notably, the University of Miami has gained global recognition for its commitment to research and innovation, with over $324 million in research and sponsored project funding awarded annually.
Industry
Colleges, universities, and professional schools
Company size
10,000+ Employees
Headquarters location
Coral Gables, FL, US
Year founded
1925