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Hospitals. Description of the candidate: The successful candidate is expected to hold: • A master degree in biomedical engineering or computer science, • Excellent programming skills, (Python & SQL
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sample preparation Desirable Qualifications Prior experience with negative ion mode MS is an advantage Interest in computational proteomics workflows Programming or scripting skills (e.g., Python, R
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, Python, or similar tools). System and control engineering (e.g. digital twins, model predictive control) –pre-knowledge in techno-economic analysis is an advantage. Strong analytical skills and a
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), life cycle assessment (LCA), tech-economic analysis, accounting and evaluation (preferred). Ability to work with large datasets and proficiency in data analysis software (preferably Python, though
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programming skills (particularly in C/C++ and Python) Documented knowledge in industrial robotics and kinematics Ability to work independently as part of an agile team, with a strong sense of responsibility
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, optimization, deep learning, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD
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analytical skills, including signal processing, statistical learning, optimization, deep learning, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Qualification requirements
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types. Familiarity with data preprocessing pipelines for high-throughput omics data (e.g., Nextflow). Strong programming skills in Python (Data and Machine Learning stacks). Experience with version
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• Knowledge of statistics and/or data science • Knowledge of Matlab, Python, or a similar programming language • Some research experience (e.g., in the form of a conference contribution, a publication, or a
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experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication skills in English. Applicants with experience in