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of Wageningen University and Research. You will be supervised by Dr Imme Benedict and Prof. Jordi Vila Gureau de Arrelano (chair group holder). Your qualities You are/have: A successfully completed – or soon
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in working with large data sets and the development of numerical models. Basic knowledge of glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming
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analytical socio-technical skills, including statistical analyses Proven programming experience using Python, R, or others (We will not consider applications that do not showcase that) Having experience
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additive manufacturing of lightweight structures to enable novel development of materials and process design. The PhD position will be supervised by Prof. Noomane Ben Khalifa (Hereon/Leuphana University
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interest in environmental health and Exposome research; expertise in programming and quantitative data analysis, including machine learning in R/Python; affinity with bioinformatics; strong collaboration
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data analysis to tackle relevant health challenges? Then come and join our lab (headed by Prof. Manuela Schmidt) at the Division of Pharmacology and Toxicology and at the newly established University
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, ecosystem function measurement); Basic skills in satellite image analysis; Affinity and experience with data analysis and visualization in R, Python or equivalent; Excellent English language skills, both
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Materials (CQM) group led by Prof. Jose Lado and work under the supervision of RCF Fellow Dr. Adolfo O. Fumega. Requirements We seek a highly motivated student with: A Master’s degree in physics, chemistry or
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. The student will be supervised by Prof James Goulding (Nottingham University Business School) and Prof Tracey Thornley (University of Nottingham), Dr Alex Elliot, Dr Nicola Love and Prof Charles Beck (UKHSA
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marine power and control systems. Interest and experience with experimental work and laboratory-based research. Proficiency in data analysis and relevant programming tools (Python, MATLAB, etc.). Relevant