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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
. Kaan Boztug, is seeking a highly motivated and talented Postdoctoral Fellow in Bioinformatics/Computational Biology to join an interdisciplinary team investigating the genetic and molecular mechanisms
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Researcher (R3) Country Morocco Application Deadline 11 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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contact, as identified by AFRL through recent past efforts. This includes the implementation of relevant algorithms and solvers for distributed GPU computing within the JAX Python library. Qualifications
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization
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cognitive, clinical, genetic, and proteomic data and manages them in the data repository and computer servers. Runs existing PET/MR brain image processing pipelines on the computer servers, produces
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, behavioral, clinical, genetic, and proteomic data. Prepares documentation of existing and newly developed brain image analysis pipelines, algorithms, and quantitative methods. Assists the team leader in
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, and associated clinical outcomes. The fellow will be responsible for identifying computational approaches for data selection, processing, and predictions/inference. The expected outcome of the project
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engineering, electrical engineering, computer science, biostatistics, or a related field. Experience in working with an MRI scanner. Experience in developing state-of-the-art Machine Learning algorithms
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faculty, and conducts a wide range of collaborative quantum research in the areas of quantum computing, quantum algorithms and complexity, quantum cryptography, quantum program verification, quantum machine
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algorithms for inferring multi-modal, condition-dependent networks from datasets with millions of samples (cells) between tens of thousands of nodes (genes and genetic features). Design robust evaluation