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community. Required Skills and Qualifications: Minimum PhD in computer science/ engineering or related fields. Proficiency in Python is a must. Experience with other programming languages such as Java, C/C
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research projects aimed at improving reach and effectiveness of behavioral health services for young people are encouraged to apply. The fellow will actively participate in implementation, data analysis, and
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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clinical research coordination. Experience collecting and analyzing quantitative or mixed methods data. Ability to balance multiple commitments, short deadlines and sensitive clinical or research issues
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rigorous work and health research with effective knowledge translation. The Partnership brings together policy-makers, researchers and data resources from national and international organizations to address
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and analyzing quantitative or mixed methods data. Ability to balance multiple commitments, short deadlines and sensitive clinical or research issues. Excellent communication skills, including strong
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internal and external partners/professionals Specialist knowledge & experience of quantitative research methods and analysing data from a range of sources Competence in analytic/statistical software such as
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quantitative techniques (e.g., NLP, classification, clustering), statistical modelling, and other computational techniques Process large scale text data sets in multiple languages Create documentation for data
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description The PhD project aims to explore how multiple layers of gene expression regulation—including DNA packaging, transcription initiation, and translation—interact to control gene activity. Using