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Field
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in some other way. For the announced position, a degree (or substantially equivalent knowledge) in bioinformatics, precision medicine, molecular biotechnology, or a related field is required. A degree
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to psychological and clinical measures and outcomes, epidemiology, statistics, and bioinformatics. Work in an environment of scientific excellence and interdisciplinary collaboration IMPRS-TP is a joint initiative
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of state-of-the-art imaging technologies, high resolution single cell data sets that will be established on non-trial samples. The PhD will include bioinformatic support from internal and international
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relevant field (e.g. bioinformatics, genetics, molecular biology) Proven programming skills (preferably Python, other languages also appreciated) A strong background in biology Strong interest in molecular
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of relevant bioinformatics from laboratory work In order to gain admission to PhD programmes at the Faculty of Health Sciences, applicants must have achieved a grade of B or better in their master’s thesis
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Biology, Biostatistics, Bioinformatics, Computer Science, Data Science, or related discipline. * At least 1 year of experience in bioinformatics research. * Quantitative training with good understanding
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Desirable experience and skills: Experience with bioinformatics FELASA certification for mouse experimental work Interest in evolutionary biology You have an interest in symbiotic microorganisms About Globe
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Experience with FACS, immune cell culture, molecular biology techniques and bioinformatics is advantageous Strong communication skills and fluency in English (spoken and written). Benefits: Fully funded PhD
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, metabolomics, and precision health YOUR PROFILE Completed university degree (Master’s or equivalent) in a scientific or technical field such as Physics, Biotechnology, Bioinformatics, Mathematics, Statistics
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, enthusiastic, critical, and creative individual to join our team. The candidate should have a strong interest in clinical epilepsy/neurology research ànd be open to acquire novel skills in bioinformatics