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Working Group of Dermatological Immunotherapy, Department of Dermatology, University Medical Center Mainz | Germany | 7 days ago
strong computational background, proficiency in R and at least one additional scripting language, as well as knowledge in biostatistics. A theoretical background in molecular biology, cell biology
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biostatistics. A theoretical background in molecular biology, cell biology, immunology, and/or cancer biology are highly preferred. Ability to lead projects within a team and also independently. Self-motivated
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degree (MSc/PhD) in a relevant field (e.g Bioinformatics Informatics, Computational Biology, Biostatistics, Data Sciences preferably with a background in NGS analysis. the applicants should be highly self
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passion for advancing digital public health and healthcare technologies and a strong background in one or more of the following disciplines: medicine, bioinformatics, biostatistics, computational
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Two Professorships (W3) for Digital Health: Non-communicable Disease & Health Information Technology
technologies and a strong background in one or more of the following disciplines: medicine, bioinformatics, biostatistics, computational epidemiology, medical informatics, machine learning in medicine. We offer
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development. We are inviting applications for the position of University Professor (m/f/d) of Medical Biostatistics (comparable to salary grade W2 LBesG) The successful candidate will represent the entire field
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Technology Jomo Kenyatta University of Agriculture and Technology (JKUAT), Subject fields: Master: Soil and Water Engineering PhD: Soil and Water Engineering Moi University, Subject field: PhD: Biostatistics
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, Biostatistics, Data Sciences preferably with a background in NGS analysis. the applicants should be highly self-motivated and be able to develop and pursue research projects independently as well as in