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. Qualifications are preferably exemplified in the application. Required qualifications: Solid insights in marine ecology Programming skills in Fortran, Python and R Demonstrated skills in statistical analyses and
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biomedical science and/or medicine. You will have led research projects in the past and have an interesting record of peer-reviewed publications. Proficiency in a high-level programming language is required as
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. The applicant should have: A PhD in meteorology, climatology or other related fields Experience in mesoscale modelling, preferably WRF Experience of scientific programming and running code on HPC systems
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for the successful applicant. The daily working language is English. Our research teams work in several fields, and we therefore expect you to have a background and qualifications in some of the following areas
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exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language
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) programme. The international, interdisciplinary, and cross-sectoral network gathers together leading experts in basic and applied soft matter and food sciences to train a new generation of young researchers
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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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research with possible continuation as a research assistant or in a possible PhD degree programme Place of employment and place of work The place of work is the Department of Animal and Veterinary Sciences
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Organisation Job description As a researcher, you will play a key role in developing and implementing the DNPP’s research programme. Your responsibilities will include conducting independent and
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in poultry nutrition; a relevant education at the MSc, PhD, or DVM level; proficiency in both English and Dutch languages We offer you Wageningen University & Research offers excellent terms