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document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role
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biomedical image processing. Within the scope of machine learning and computer vision, there will be freedom to suggest your own research directions, and to become acquainted with new techniques and approaches
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learning for image recognition. Moreover, you will develop methods and software that will allow new characterization of nanoscale materials. Therefore, your research will have great impact in academia and
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imaging in molecular systems, as demonstrated by scientific publications in the field. Required skills include operation and alignment of laser instrumentation, and programming experience in e.g. MATLAB
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visits, etc. Eligibility criteria Profile of candidates (requirements): PhD degree (preferred fields: physics, electronics, optics, or biomedical engineering) Knowledge of optical instrumentation and
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the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree) Doctoral research in the area of machine
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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signal/image processing, computer science, applied mathematics, or a related field, obtained less than 3 years before the date of hire. Essential skills, knowledge and experience: Excellent command
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of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted
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close to completing) a PhD in biology, bioinformatics, genomics, or molecular physiology. We particularly welcome candidates with: Expertise in experimental genomics, cell biology and advanced live imaging