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, machine learning, statistics and programming skills (R and Python) is preferred. Record of peer-reviewed publications. Knowledge in one or more of the following areas is desirable: single-cell profiling
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application to: Prof Serkan Turkmen serkan.turkmen@taltech.ee Where to apply Website https://academicpositions.com/ad/tallinn-university-of-technology/2026/phd-posi… Requirements Research FieldComputer
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BSM processes. This will involve taking a lead role in developing dedicated software frameworks, including the implementation of machine learning techniques. A long-term attachment (6-12 months) and
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modelling predictions. Experience or a strong interest in scientific programming and machine-learning-assisted data analysis for materials modelling is an advantage. PhD Position 2 – Coarse-Grained and
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contribute 1) to the analysis methods and metrics for understanding the complex interactions between forage resource and dynamics; 2) to develop Machine Learning methods for analysing sensor data on animal
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, United States of America [map ] Subject Area: Formal Methods and Machine Learning for Mathematics Appl Deadline: none (posted 2025/10/03) Position Description: Apply Position Description The Institute for Computer-Aided
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Informatics, Research Group Research-Development-Innovation is looking for a PhD-student with a doctoral grant. We invite applicants for a fully funded PhD position in machine learning, AI, and data science for
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for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in
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Waves and THz; Control Systems; Nanotechnology for Optoelectronics and Biosystems; Communications and Networking; Power Systems; and Computer and Data Engineering. Requirements A PhD in Electronic
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performance with classical methods. Qualifications PhD in Physics, Computer Science, Applied Mathematics, or related fields. Strong background in at least one of the following: machine learning, quantum