Computer Scientist

accelerating the implementation of precision oncology. About The Radiomics Group And VHIO The VHIO Radiomics Group develops innovative computational methodologies at the interface of artificial intelligence, computer vision and computational oncology. We combine quantitative imaging with genomics, transcriptomics, pathology and clinical information to discover imaging biomarkers that capture tumor biology non-invasively and support personalized treatment decisions. Our Projects Combine Methodological AI Research And Close Clinical Translation, Offering Access To Unique Multimodal Datasets And Collaborations With Leading International Clinical And Research Networks. VHIO´s Pioneering Model And Programs, Coupled With Its Belief In Combining Strengths Through Cross-border Collaborations, Continue To Drive Advances In Reversing Cancer Resistance, Preventing Metastatic Spread, And More Effectively Treating Even The Most Aggressive Tumor Types. VHIO´s Translation Toward Precision Oncology

http://www.vhio.net https://github.com/radiomicsgroup The Position We are looking for a highly motivated Computer Scientist with expertise in computational medical imaging who enjoys solving challenging interdisciplinary problems. The Successful Candidate Will Develop Novel Computational Approaches For - Quantitative medical image analysis - Imaging biomarker development - Artificial Intelligence for precision oncology - Multi-omics integration combining imaging, genomics, pathology and clinical data - Predictive modelling for: - early cancer detection - patient prognosis - treatment response prediction - Development of reproducible research pipelines and software for translational cancer research The position offers the opportunity to work on high-impact international collaborative projects addressing clinically relevant questions across multiple cancer types. Requirements - MSc in Computer Science, Artificial Intelligence, Biomedical Engineering, Medical Imaging or a closely related discipline. - Excellent programming skills in Python. - Experience in machine learning and deep learning. - Strong analytical and problem-solving skills. - Ability to work effectively in multidisciplinary research teams. - Excellent written and spoken English. Desirable Experience Candidates with experience in one or more of the following areas are encouraged to apply: - Computational medical image analysis - Radiomics and quantitative imaging biomarkers - Multi-modal or multi-omics data integration - Computer vision - Medical AI - Bioinformatics - Statistical modelling - Image segmentation and feature extraction - Experience with MRI analysis (highly desirable) - Experience with large-scale biomedical datasets - Reproducible software development and scientific computing Additional Information We offer: - ️The opportunity to work on cutting-edge AI technologies for precision oncology. - ️Access to unique multimodal imaging and molecular datasets. - ️Close collaboration with clinicians and leading biomedical researchers. - ️An outstanding multidisciplinary research