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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 2 days ago
in oncology • Board exam eligible ECVIM-CA (Oncology) or Diplomate ECVIM-CA (Oncology) • In-depth knowledge and experience in small animal oncology • Publication track record in line with the career
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or computer vision with a video focus, and ideally have prior experience of working with echocardiography or fetal echocardiography or related experience on real-world video analysis Informal enquiries may be
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near completion) and have publications in rejection learning or learning-to-defer techniques. You should also have experience of original machine learning architecture design and ideally have prior
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ability and experience in Western Blot, immunoprecipitation, PCR, qPCR, and FACS. Demonstrated ability to contribute to experimental design, analysis, interpretation of the results, and troubleshooting
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communication skills Teaching experience in the field of German as a Second Language Teaching experience in university and non-university settings related to migration Research experience Experience with e-learning
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responses to odor stimuli directly from the human olfactory receptors. Your main tasks will be, with the help of research assistants, to develop the recording setup, design and conduct experiments, analyze
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Experience: Two years’ experience work/research in lifestyle medicine (specifically diet and/or exercise) for cancer or chronic disease Two years’ experience supervising and mentoring graduate students Minimum
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Qualifications: Ph.D. in an appropriate scientific field (e.g., psychology, neuroscience, bioinformatics) Supplemental Qualifications: 1. Proficiency in: experimental design, study implementation, and advanced
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deliver the best we possibly can to the future of Chemical Engineering, Industrial Chemistry and Food Science and Technology. Our passionate academics are eager to share their vast knowledge and experience
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both computational and experimental biology to join our team in reimagining how we discover and deploy drug combinations in the clinic. Our work is highly interdisciplinary, integrating high-throughput