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Field
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, or a related discipline. Hands-on research experience in one or more of the following areas will be considered an advantage: Confocal microscopy and Image processing Optical bench instrumentation
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more complete picture of the applicant's scientific achievements. Evaluation criteria. The research project and the interview with the applicant will be evaluated on a 10-point system. The research
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. Candidates should have excellent programming, communication, and organizational skills. Ideally, candidates should have previous knowledge of image processing, statistics, and machine learning/AI, and
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sequencing data, imaging and clinical data from brain tumour patients to examine the evolutionary trajectories and treatment resistance mechanisms of patients with brain tumours. The successful candidates will
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, patch clamp recording, confocal microscopy, calcium imaging and other biochemical analysis (western blot, ELISA, etc.). Ability to work independently and collaboratively in a team environment Excellent
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Image processing Optical bench instrumentation – set up and alignment Numerical modelling Scientific software development Geochronology You should possess strong communication and academic writing skills
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imaging and single cell mass spectrometry to reveal chemical processes of importance to biological function and dysfunction. The research group has recently received major and prestigious grants
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efficient for medicine? If the answer is yes, please continue reading! Join our team! We are looking for a PhD student to work on the topic of shape analysis for medical imaging, tailored for deep learning
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and/or atom probe tomography Experience in image processing Experience in programming with Python or Matlab is strongly desired Team spirit as well as excellent communication and organizational skills
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image sequences. As a benchmark, end-to-end deep learning models will be developed using raw image data. In parallel, shallow learning models (e.g., Gaussian processes) will be explored based on insights