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large scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into environmental or soil science
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academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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States of America) and you have obtained a diploma of secondary education in English for at least 2.5 years in one of the above countries. You have obtained your higher education diploma in English (the entire programme
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theory, and their mathematical foundations. Solid programming skills Experience with machine learning libraries or willingness to acquire Excellent command of English Ability to work in a team Desireable
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Master's thesis -An interest in turbine aerodynamics, secondary flows, and real-engine flow physics -Programming and data-analysis skills (Python preferred) -Curiosity and motivation to work on complex
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these signals with their transcriptional programs. You will use a variety of techniques and tools, including microscopy and fluorescent imaging techniques, transcriptomics, metabolite profiling and high
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and a strong interest in computational modelling and programming. To apply, please contact the main supervisor, Dr. Mara Strungaru - mara.strungaru@manchester.ac.uk . Please include details of your
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, computational biology, bioinformatics, data science, or related fields Strong interest in clinical and biomedical data, translational research, and health informatics Experience with programming skills in Python
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place in the higher research and higher education sector, thus recognizing the unique and independent contributions to knowledge production generated in the artistic fields. The PhD program in artistic