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SD-26085 POSTDOCTORAL RESEARCHER IN THE OXIDATIVE CHEMICAL VAPOR DEPOSITION OF FUNCTIONAL BUILDIN...
in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? The CLEANH3 project investigates the gas
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. The successful candidate will apply and develop bioinformatics, statistical, machine learning, and deep learning approaches to analyze single-cell sequencing and spatial expression data, including single-cell RNA
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demonstrated track record in protein structure modelling methods, with hands‑on experience in protein or biologics design and engineering. Hands‑on experience with common machine learning / deep learning
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models and transformer-based architectures to construct high-dimensional design spaces. These models are integrated with Deep Reinforcement Learning (DRL) for fine-tuning or end-to-end learning, enabling
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, collaborative, and able to work well with adversity and ambiguity. You should have strong problem-solving skills, excellent communication skills, a deep technical understanding of modern cybersecurity threats
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, this opportunity will provide exceptional rewards that arise from working for an institution doing worldwide life-changing teaching and research. Learn more here: https://hr.osu.edu/careers/ . In accordance with
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solutions, including deep learning and natural language processing, is considered a significant asset. This position is a part of campus-wide cluster hiring opportunity in areas of strategic importance
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future business leaders. And we are looking to add to our BIZ family! To learn more about the NUS Business School, please visit https://bschool.nus.edu.sg/ Job Description Asset Management Routine-Based
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Job Purpose To make a leading contribution to the BIOGRAPH – Biophysical Tumour Growth Modelling for Novel GBM Treatment Response Assessment: Harnessing Physics-Informed Deep Learning project
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academic and professional qualifications suitable for appointment as a tenured or tenure-track associate professor or full professor in the HSMP department. We seek candidates with deep expertise in health