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Field
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research, including hands-on experience with overnight polysomnography (data collection, scoring, and analysis). Strong programming skills in Python and/or MATLAB, including experience with sleep and EEG
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of microcontrollers possible) Tracer experiments in the stream In-depth data analysis using R, Python or Matlab Presentation and publication of scientific results About You: Essential Qualifications: An MSc degree in
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, or comparable subjects • Experience in machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as Python • Ability and enthusiasm to learn new
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tumor cells, cell-free DNA, extracellular vesicles) Familiarity with single-cell omics methods (scRNA-seq, proteomics) Basic bioinformatics skills (R, Python, or similar) Experience working with patient
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AI/machine learning is a plus. Strong software skills in software packages used in experimental particle physics (ROOT, C++, Python, Git) Good teamwork and communication skills Good English language
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with scientific programming (preferably Python) Good understanding of synchrotron radiation and high-brilliance X-ray sources Experience in beamline commissioning, alignment, or experimental
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new quantitative methods. Proficient programming and data-wrangling skills (e.g., R, Python) for building analysis pipelines on complex, multi-wave datasets. A track record of first-author scholarly
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, computational modeling, computer vision, natural language processing, or related AI-based methods. Strong programming skills, preferably in Python. Experience working with complex, multimodal datasets and
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Strong experience in machine learning and/or deep learning, ideally with sequence models (e.g. CNNs, transformers) applied to genomic data Proficiency in Python and common ML frameworks (e.g. PyTorch
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, bioinformatics, systems biology, computer science or related field Strong proficiency in Python and/or R Experience in single cell omics analysis and multiomics data interpretation Ability to work independently