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for a candidate with: an MSc in computer science, artificial intelligence or a related field a creative and collaborative mindset strong programming skills in Python or Rust strong skills in deep learning
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extreme scenarios. Your tasks: Conduct security and resilience studies for highly stressed systems (e.g., multiple faults, high renewable shares, or equipment failures). Evaluate system vulnerabilities and
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-windcatcher-tech/ , https://www.windcatching.com/ ). Multi-rotor (MR) wind turbines house multiple rotors on a single support platform, which is believed to provide a wide range of techno-economic benefits
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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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· A PhD in an engineering discipline is mandatory. Experience and skills · Proven programming expertise in Python is necessary; knowledge of other programming languages are additional assets
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and their cognitive functions and vulnerability to mental conditions. By applying neuroimaging, genetics and network neuroscienceanalyses to MRI data from multiple species, the project aims to study the