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background in Computer Science, Informatics Engineering, Mathematical Modeling, Computational Urban Science, Transport Modeling or equivalent, or a similar degree with an academic level equivalent to a two
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steel industry. A world without steel is unimaginable, yet we need to produce this steel sustainably. The Groeien met Groen Staal programme (GGS) aims at making the Dutch steel sector CO2 -neutral by 2050
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Organisation Job description We are seeking a candidate for a PhD project on the philosophical aspects of data science and data science use, with specific attention for the use of data science
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for Energy Business and Economics Research (CEnBER - https://www.rug.nl/cenber/ ) and in the research programme Economics, Econometrics & Finance of FEB’s Research Institute. The project will be supervised by
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Job Description Are you passionate about materials science, electron microscopy, and tackling real-world environmental challenges? Join us at the National Centre for Nanofabrication and
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. The employment period is 3 years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD program in Civil ang Environmental Engineering (https://www.ntnu.edu/ibm/phd ) within
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Research
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
for you? As a PhD student in our group, you will: Be trained at the forefront of biomaterials, synthetic biology, and drug delivery science Have hands-on access to world-class infrastructure and cutting
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enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment will be made by Assoc. Prof. Leticia Hosta-Rigau. We offer
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the disciplines of law, ethics or computer science with the common goal of researching methods and tools to make Integrated Assessments of risks and impacts for current Data intensive and AI technologies. Research