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research and teaching in the fields of marine evolutionary genomics and climate change adaptation. University-internal structures and programs, such as the Vienna Doctoral School of Ecology & Evolution
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applications Good analytical and (bio)statistical skills Knowledge of relevant programming languages such as Java, Python, and Perl Good knowledge of relational and document-oriented database design (e.g., MySQL
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ICT Services & Applications. Your role You will join the Legato group, recognised internationally as a leading team in computational mechanics and surgical simulation, and work in tight collaboration
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Postdoctoral Research Associate - Basic and Translational Research Training in Pediatric Classical H
-malignant blood diseases, such as sickle cell disease, bone marrow failure syndromes, and myeloproliferative disorders. This premier NHLBI-sponsored T32 training program leverages the exceptional research
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Postdoctoral Research Associate- Training in the Design & Development of Infectious Disease Therapeu
St. Jude is seeking outstanding candidates for postdoctoral fellowship positions in infectious disease therapeutics. This NIH sponsored training program has been designed to leverage the outstanding
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documented research experience in a related field. The applicant should have experience in one or more of the areas/fields mentioned below Proficiency in programming languages such as Python or R. Experience
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international research applications Experience in planning and conducting laboratory work within Click or tap here to enter text. Insight into molecular plant pathology Experience with high throughput sequencing
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supervision experience at the BSc and MSc level Interest and experience in developing competitive national and international research applications Experience in planning and conducting molecular laboratory work
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University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . The application must be submitted via Aarhus University’s
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, transformer-based models), including experience with their application to biomedical and biological data; Experience with machine learning frameworks and programming languages (e.g. Python) for handling large