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Field
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-level optimisation using TRNSYS and MATLAB/Python. The associate will use advanced characterisation (e.g., DVS, porosimeter, DSC/LFA) to develop and assess adsorption composites, and apply CFD to analyse
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experience in AI; - Advanced programming skills (e.g., Python, Java, and C++); - Ability to work well in a team and fluency (written and oral) in English. About the scholarship: 24-month contract (renewable
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candidates with a proven track record in developing open-source machine learning, deep learning, or cheminformatics tools (Preferred written in Python). Job Duties Plans, directs and conducts research
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. Essential skills, knowledge and experience: Strong proficiency in Python and associated libraries (NumPy, Pandas, PyTorch, TensorFlow, etc.). Expertise in multimodal AI models (Vision-Language Models), with
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(NFQ Level 8) or Master’s (Level 9) in a relevant discipline plus 3–4 years applied professional experience in AI/ML development. Strong programming and applied AI/ML development skills (Python
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skills (Python, TensorFlow, PyTorch, scikit-learn, etc.). Excellent stakeholder engagement and communication skills, with a record of working with SMEs or innovation-focused organisations. Desirable
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of appointment. The ideal candidate will demonstrate: Strong quantitative and spatial analytic skills, with proficiency in R and Python for data management, modeling, and visualization. Experience
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mathematics. Programming Skills: Proficiency in Python, TensorFlow and scikit-learn, experience in C++ Documented Productivity: Record of peer-reviewed publications Interdisciplinary Interest: Candidates should
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assays Drug Discovery Dose-response assays, IC50 Data Analysis Proficiency in statistics and statistical software (GraphPad, R, Python) Candidate Profile Candidates having several of the following
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, electrical stimulation or ultrasound brain stimulation. n. The ideal candidate will have experience with advanced analytics and signal processing, using MATLAB/Python, as well as experience presenting and