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interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and interest in wearable data analysis are an asset Excellent command of written
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Language Processing Experience with multimodal learning (integration of time-series, clinical, and textual data) Strong programming skills (Python, PyTorch/TensorFlow) Demonstrated coding portfolio: GitHub link
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A solid background in mathematical modelling, ordinary and partial differential equations, dynamical systems, and numerical analysis Excellent programming skills (e.g., Python, Matlab, Fortran or C/C
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(Python, Matlab or C), Good dominion of biomedical signals and human physiology is desirable, Strong interest in translational endocrinology and digital health technologies Excellent command of written and
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communication skills and the ability to thrive in interdisciplinary collaborations Basic programming or data science skills (e.g., R or Python) and an interest in omics data analysis are considered an asset We
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(ESBMC, CBMC, Z3, or similar) – either academic or practical. • Programming proficiency in C/C++, Python, and familiarity with software verification tool development. • Understanding of ML/NLP fundamentals
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profile We welcome applicants with backgrounds in computer science, applied mathematics, or engineering. Essential: strong Python, deep learning experience (PyTorch), and foundations in calculus/linear
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proficiency in three of the items in the following list: - Fluent programmer (e.g., python or other) - Fundamental of finite element analysis and experience with FEA software
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of computer science, biology, physics, mathematics or a related field Programming skills in Python required (Numpy, Pandas, Scikit-learn, Pytorch) Hands-on experience in Deep Learning Demonstrated interest in working
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– Knowledge and experience in the application of Ion Beam Analysis techniques; – Knowledge about material analysis; – Experience in programming (i.e. Python, MATLAB, etc.). The following competencies