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Full-time PostDoc Researcher (6 years) in Biostatistics and Outcomes Research Medical University of Vienna, Vienna, Austria We have an exciting job offering for a researcher at the postdoctoral
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Postdoctoral Research Associate - Training in Pediatric Cancer Survivorship Outcomes and Interventio
, computational biology, psychology and neuropsychology, neuroscience, exercise physiology, oncology, pharmacology, radiology, surgery and biostatistics. St. Jude leads two of the world's largest pediatric
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, biostatistics, molecular biology/medicine, or a related field. Additional requirements A strong track record in a relevant field of research, documented by first authorships in peer-reviewed original publications
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resources are readily available, including biorepository and clinical biomarkers labs, biostatistics, applied bioinformatics, proteomics and metabolomics and a variety of brain and body imaging resources (MRI
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the fields of cancer survivorship, genetics, stem cell pharmacogenomics, epidemiology, biostatistics, and computational biology. The successful applicant will gain extensive training and experience in genetic
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aligned with the lab’s research portfolio. Qualifications: Candidates should hold a doctoral degree in epidemiology, biostatistics, genetics/genomics, public health, or related fields. MD candidates with a
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at the Institute of Analytical Chemistry, in Prof. Köllenspergers group, at the Faculty of Chemistry. The succesful candidate will work with interdisciplinary teams (analytical chemists, clinical, biostatistics and
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Postdoctoral Research Associate - Training in Pediatric Cancer Survivorship Outcomes and Interventio
biology, psychology and neuropsychology, neuroscience, exercise physiology, oncology, pharmacology, radiology, surgery and biostatistics. St. Jude leads two of the world's largest pediatric survivorship
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oncology and health policy by providing rigorous training in the use of big data, advanced biostatistical methods, and econometric approaches, paired with dedicated mentorship from experts to advance
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, biochemical, cell, and tissue biology method skills. Experience in using computational analysis (biostatistics, machine learning, data science, physics, or a related field). We value diversity and strongly