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. Publishing your research in peer-reviewed scientific journal papers and presenting your results at conferences Where to apply Website https://www.academictransfer.com/en/jobs/355792/phd-position
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
climate-related challenges. Proficiency in at least one programming language used for scientific or analytical purposes, e.g., Python. Excellent communication skills in English, both written and verbal
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for scientific or analytical purposes, e.g., Python. Excellent communication skills in English, both written and verbal. For more information about English requirements, please see: https://www.tudelft.nl
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programming skills (particularly in C/C++ and Python) Documented knowledge in industrial robotics and kinematics Ability to work independently as part of an agile team, with a strong sense of responsibility
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scientific questions Proficient in scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab, SRIM/TRIM) Basic knowledge of scientific data analysis and statistical evaluation Good command
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mediators using in vivo mouse models. The position has a duration of two years. The project group is part of a vibrant and inclusive research environment (https://www.ous-research.no/kt/) at the Department
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the analysis of seismological data Programming in Python Project 2: (preferred) Knowledge of machine learning, or experience in processing large datasets or experience with the analysis of local seismicity
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positively evaluated. International experience will be a plus. Knowledge of programming languages like Python and/or C++. Knowledge on nonlinear constitutive modelling of solids (damage, plasticity, etc
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as an Ecological and Biogeochemical Regulator on Earth'. The position is under the supervision of Dr. James Bradley (https://www.jbradleylab.com/ ). The recruited person will work with the principal
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research disciplines. For further information about the different research disciplines see https://www.ntnu.edu/imf/research . Are you motivated to take a step towards a doctorate and open exciting career