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Research associate (ATAP) in Mass Spectrometry and Protein Research - University of Southern Denmark
Spectrometry data analysis: A strong background in mass spectrometry/proteomics data analysis is highly prioritized, including also programming skills in R and/or Python. Personal Competencies: Independence and
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) in data science, applied math, applied statistics, bioinformatics, computer science, systems biology, biotechnology or the like. Solid programming skills in the scripting languages Python and R
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of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment
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at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university
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of Marts 2026 Successful candidates will be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will be carried out in
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motivated scientist with strong expertise in protein molecular modelling, protein science, biochemistry and programming in Python and usage of SnakeMake. The applicant should also have experience in working
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The Faculty of Engineering and Science, Department of Built Environment, Aalborg University, Denmark, a PhD stipend is available within the doctoral programme Civil Engineering in Structural
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How Creativity Persists into Later Life , funded by a Carlsberg Foundation grant awarded to Professor Karol J. Borowiecki . Applicants may be admitted through either the 5+3 or the 4+4 programme. The
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letters. Closing date 15 March 2025 Successful candidates will be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will be
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field Knowledge of freshwater ecology and/or physical limnology Experience with numerical modelling Experience with programming languages, esp. Python, and familiarity in NumPy, SciPy and Pandas