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collaboration with two PhD students at TEC you will evaluate the novel sensor platforms for biomarker detection and dielectrophoresis.Your primary tasks will be to: plan and execute experimental research design
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skills, Experience in programming in Python or another language, e.g., in C++, Matlab, R, Familiarity with basic concepts of dynamical systems, Knowledge of wind turbine dynamics is a plus, Curiosity to
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learning, data science, atmospheric sciences, geophysics, or related fields. Solid numerical modelling and programming skills (e.g., Python, TensorFlow, scikit learn) are essential, along with a basic
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letters. Closing date 15 March 2025 Successful candidates will be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will be
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information about the PhD programme at the Faculty of Science can be found at the University’s website. The successful applicant will be employed in accordance with the agreement on salaried PhD scholars
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contributes to the undergraduate programs in Computer Science, Information Science, and Artificial Intelligence and a number of research Master's programmes in these fields. It employs over 200 people in four
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‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · Search for the ‘Course Title’ using the programme code: 8315F · Research Area: leave blank
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personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute
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science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural networks using common Python-ML libraries such as PyTorch preferably also background
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importance to a binary assessment of effectiveness. As such, the aim of this PhD programme is to comprehensively evaluate football officiating decision support systems. Identify aspects of newly developed