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technologies, neurodegeneration models, and interdisciplinary collaboration. This is an exciting opportunity to contribute to a growing research programme with the potential to lead to PhD study or further
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settings, with 5+ years of experience building impactful deep learning systems A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR Strong programming skills in Python and/or C
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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
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, have an ability to plan and prioritise your own workload, with general supervision, and you will have an ability to work within a team environment. You will have excellent interpersonal and communication
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schools, support training, technical assistance, and research related to school mental and behavior health programs. The fellow will work closely with interdisciplinary mental health teams at the University
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cancer biology, demonstrated by publications in high impact journals. The person would be well versed with various techniques used in the field of cancer immunology as well as having the ability to plan
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industrial PET recycling. Admission to the PhD programme in Health Sciences is a prerequisite for the position. The final plan for organised research training must be approved and agreed no later than three
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, economics, engineering, statistics, or computer science. They will possess programming skills in at least one language, with experience in MATLAB and STATA considered desirable but not essential. Strong
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should have: Undergraduate or Master’s degree in Economics or another quantitative discipline (completed by start date). Advanced programming skills in Python and either R or STATA. Willingness and ability
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. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information For further information