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Field
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bioinformatic approaches. Working in a highly collaborative environment together with the Artegiani-Hendriks group in the Máxima, you will uncover the developmental origins, molecular mechanisms and sex-specific
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 13 hours ago
Bioanalytics for the Multidimensional OMICS Data Analysis research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus
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biostatistics. CenStat builds on over 30 years of research in biostatistics, statistical bioinformatics, and quantitative epidemiology. Together with DSI, CenStat offers a Master's program in Statistics and Data
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the development of artificial-intelligence models. Its subtle infiltrative growth pattern also creates specific challenges for diagnosis, staging and clinical management. This PhD project is part of M4GIC-ILC, a 36
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, you will design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale
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, synapse density, and neuronal network formation. The PhD thesis work will be supervised by Prof. Obermair and will be conducted within the PhD program Mental Health and Neuroscience (https://www.kl.ac.at/en
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at Sheffield is available here: https://www.sheffield.ac.uk/postgraduate/phd Prospective applicants are encouraged to contact Dr Jovana Serbanovic-Canic before applying to discuss the project, their background
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are analyzed using advanced bioinformatic and biostatistical methodologies. As a doctoral student, you will be part of a highly collaborative and multidisciplinary research group focusing on developing precision
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Minimum required qualification : PhD (with more than 5 years of experience) in Biomedicine, Bioinformatics, Biotechnology, Genetics, Biology, Biochemistry, Medicine or a related field. Oral and written
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research staff, in a fast-paced, dynamic environment Required Qualifications* Graduate PhD degree in Bioinformatics, Applied Mathematics, Statistics, Genomics and Genetics, or related Data Sciences also