05/20/2025 updated
GV
100 % available
AI and Machine Learning Specialist with PhD
Geldrop, Netherlands
Only remote
PhD in Biomedical Data ScienceArtificial IntelligenceAlgorithmsData AnalysisComputer VisionComputer ProgrammingMutations (Biology)R (Programming Language)Python (Programming Language)Machine LearningProject ManagementNumPyQuantumQuantum ComputingSoftware ToolsTensorFlow
Machine Learning & Deep Learning
Expertise in developing and implementing machine learning and deep learning models for various applications including computer vision, protein 3D structure modeling, and classification of mutations in epigenomic datasets.
Quantum Computing
Specialized knowledge in quantum computing algorithms and quantum machine learning methods, with experience in developing scientific software for real quantum devices.
Scientific Software Development
Advanced skills in developing scientific software tools and data analysis pipelines using Python, PyTorch, JAX, and other frameworks for research and industry applications.
Programming Languages & Frameworks
Proficiency in Python, R, PyTorch, JAX, TensorFlow, Numpy, Pandas, Scikit-Learn, Keras, and other data science libraries and frameworks.
High-Performance Computing
Experience with HPC environments, GPU optimization, and scaling computational solutions for large-scale scientific applications.
Bayesian Statistics & Probabilistic Programming
Knowledge in implementing Bayesian models for inference through probabilistic programming and variational inference techniques.
Project Management & Leadership
Skills in leading research teams, managing projects, and coordinating cross-functional collaboration using tools like GitLab and Notion.
Expertise in developing and implementing machine learning and deep learning models for various applications including computer vision, protein 3D structure modeling, and classification of mutations in epigenomic datasets.
Quantum Computing
Specialized knowledge in quantum computing algorithms and quantum machine learning methods, with experience in developing scientific software for real quantum devices.
Scientific Software Development
Advanced skills in developing scientific software tools and data analysis pipelines using Python, PyTorch, JAX, and other frameworks for research and industry applications.
Programming Languages & Frameworks
Proficiency in Python, R, PyTorch, JAX, TensorFlow, Numpy, Pandas, Scikit-Learn, Keras, and other data science libraries and frameworks.
High-Performance Computing
Experience with HPC environments, GPU optimization, and scaling computational solutions for large-scale scientific applications.
Bayesian Statistics & Probabilistic Programming
Knowledge in implementing Bayesian models for inference through probabilistic programming and variational inference techniques.
Project Management & Leadership
Skills in leading research teams, managing projects, and coordinating cross-functional collaboration using tools like GitLab and Notion.
Experience
Professional experience5 - 10 years
Freelancer since2025
Languages
BulgarianNative speakerEnglishFluentDutchBasic knowledge
Project history
Developing and deploying computer vision models including ResNets and Vision Transformers. Automating classification and filtering of high-quality images for TEM CryoEM in pharmaceutical, biotech, and academic sectors. Developing models for ice thickness prediction and protein 3D structure modeling.
Tech Lead for a research project with a team of 10 focused on understanding the behavior of Physics-informed Neural Networks during training and optimization. Analyzed architectural components and model expressivity. Presented machine learning methods at ML4PS NeurIPS 2024 and QTML 2024.
Developed quantum computing algorithms and software for real-life problems. Led research project studying trainability, robustness, and expressivity of Deep Learning algorithms. Contributed to developing new algorithms for Scientific Machine Learning, resulting in patent application. Made contributions to scientific software development including Qadence presented at POPL 2024.