160 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "UNIV" "UNIV" research jobs in Denmark
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industrial partners. More information about the AI RF Sensors group is available at: https://www.es.aau.dk/research/ai-rf-sensors Qualification requirements Appointment as postdoc requires academic
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
visualization. The postdoctoral researcher will be hired either at the Department of Culture and Language (https://www.sdu.dk/en/om-sdu/institutter-centre/iks ) or at the Department of Mathematics and Data
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econometric methods for analysing large datasets. Are proficient in coding and data management using tools such as Stata, R, or Python. Have a strong interest in the research area and have a strong independent
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
interdisciplinary center for research and education in quantitative genetics and quantitative genomics (http://qgg.au.dk/en). QGG is an international organization with 100 employees and visiting researchers from
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, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process
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Postdoc position in method development in human statistical genetics, with a focus on classificat...
with a substantial statistical component (e.g., mathematics, statistical genetics, bioinformatics). The applicants should ideally have some coding experience (e.g., in R, Stata, Matlab, C, etc), and also
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with a substantial statistical component (e.g., mathematics, statistical genetics, bioinformatics). The applicants should ideally have some coding experience (e.g., in R, Stata, Matlab, C, etc), and also
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staff office (ISO) https://www.sdu.dk/en/om-sdu/job-sdu/international-staff For the right candidate, there will be possibilities to influence the project and develop new project ideas within the project
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
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. You can read more about the Department of Management at: http://mgmt.au.dk . Further information For further information about the position and the department, please contact the Director of the Center