Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, including common single-cell analysis toolkits, and experience working in high-performance computing (HPC) environments. Experience with flow cytometry and standard molecular and cell biology techniques (e.g
-
physics and Earth's mantle. Experience with high-performance computing (HPC) and cluster environments. Publications in indexed journals in the field. How to apply: Send in a single email: updated CV
-
80%-100%, Zurich, permanent The High Performance Computing group at ETH Zurich provides world-class HPC and AI/ML infrastructure to researchers across all departments. We operate compute clusters
-
proficiency in coding, at least using Bash and Python. Applicants should maintain their code in a public repository (e.g. GitHub) and include the link in their application. Proven skills in Linux/HPC
-
Pollution and Health group (https://www.hsph.harvard.edu/nsaph/). The position will be under the supervision of Principal Research Scientist, Dr. Danielle Braun, in Biostatistics. Job-Specific
-
regression, survival analysis, classification, and machine learning techniques. Familiarity with bioinformatics workflows, reproducible data analysis, and high-performance computing (HPC) environments
-
-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
-
IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 3 months ago
research, development, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics (HPDA), Artificial Intelligence (AI), and Quantum Computing (QC) and their applications
-
Recruitment for the position of Assistant Professor in the Laboratory of Genomics and bioinformatics
Hirszfeld Institute of Immunology and Experimental Therapy Polish Academy of Sciences | Poland | 2 months agoof data quality and analytical feasibility. 2. Bioinformatics pipelines and HPC infrastructure 1. Developing, optimizing, and implementing bioinformatics pipelines for NGS data analysis, including quality
-
for biomedical research Electronic Health Record (EHR) analytics and clinical data integration Biomedical image analysis and quantitative microscopy High-performance computing (HPC) and scalable AI pipelines