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photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning, and theoretical analysis using Leslie-Ericksen
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computing protocols known to work with similar plants. Training will be provided as needed and some degree of flexible working is expected to permit this. Data gathering and analysis will be done during, and
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helping them in their experiments, acquisition, analysis and interpretation of data. Another requirement would be the ability to write reports, make presentations and contribute to writing the grant
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system analysis or comparable Initial experience in optimization or statistics is an advantage Initial experience of an object-oriented programming language (e.g. Python, Matlab) and MS Office Analytical
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polymer technologies, that deliver their anti-attachment performance without the use of actives that kill. Hence, they will not contribute to the increase in Anti-Microbial Resistance (AMR). The project
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Published Thursday 10 Jul 2025 Deadline Monday 15 Sep 2025 Work area PhD Organisational unit Erasmus School of History, Culture and Communication (ESHCC) Salary € 2.901 - € 3..707 Employment 1 fte
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, management, quantitative analysis Lead in publication outputs in appropriate academic and industry fora The role-holder will also have management, liaison and networking responsibilities. The skills
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Strong publication record A keen and documented interest in the research agenda of the project Experience with analysis of longitudinal data and related data management Proficiency in using Stata and/or R
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studies to aid in the experiment design, impact analysis and icing code droplet impact solver refinement. The main impact of the work will be to provide droplet impact data and analysis at high speeds which
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, Biomedicine, or Computational Systems Biology. Experience with NGS data or single cell-sequencing analysis is required. Competence in adipose tissue biology, cell culture work or mouse physiology would be