249 coding-"https:"-"FEMTO-ST"-"UNIVERSITY-OF-BUCHAREST" "https:" "https:" "https:" "https:" "https:" positions in United Kingdom
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Field
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Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources and practices that support replication. Experience Essential E1 Experience of making
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to follow and apply industry standards and codes of practice. IT Proficiency: Expert skills in relevant specialist software and a strong IT background to tackle complex technical challenges. Exceptional
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Ability to lead and work in teams Essential Application/Interview Experience and capability in blast computational simulations using codes such as Viper:: Blast, machine learning, and/or LS Dyna Desirable
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Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources and practices that support replication. Experience Essential E1 Experience of making
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publications, conference presentations, and robust coding practices, including version control and reproducible data pipelines. Proficiency in Python, ML frameworks such as TensorFlow or PyTorch, statistical
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Experience in coding Experience working with geospatial data Desirable criteria include: Postgraduate qualification in one of the following disciplines: Earth Sciences, Environmental Sciences, Geochemistry
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appropriate to the career stage, including some experience of research project supervision. E5 Commitment to open research, as appropriate to the discipline, through open data, open code, open educational
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, Computer Science, Neuroscience, Data Science, or a related field. An MSc degree in a relevant area is desirable though not necessary. Experience in coding (e.g., Python/R/Matlab) and experience in
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Essential: C1 Project or subject specific skills ((Model Selecting, R and python coding, database management). C2 Research creativity and cross-discipline collaborative ability as appropriate. C3 Excellent
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, through open data, open code, open educational resources and practices that support replication. Desirable: F1 Experience of ultrasound imaging research systems either relating to their operation or