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assays and bioinformatics analyses Strong problem-solving skills Ability to work independently within a collaborative research environment Team-work attitude Excellent organizational skills and attention
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with bioinformatic pipelines and approaches for working with methylation data, or a willingness/ability to learn these methods. The appointment is for one year with possibility of renewal based
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any discipline of cancer research • Excellent track record of research accomplishments • Keen to embark on exciting and innovative projects in experimental and/or bioinformatics laboratories
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to disease. You will join a collaborative team working at the intersection of genetics, epidemiology, bioinformatics, and microbiome science to generate analyses that can change how we understand and
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doctoral degree in one of the relevant fields (e.g. Immunology, Biochemistry, Biology, Chemistry, Bioinformatics, Computational Biology, Chemical Biology, Pharmacy or Pharmaceutical Sciences), or be
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, or Bioinformatics. The successful candidate will work in close collaboration with an interdisciplinary team including bioinformaticians, embryologists, molecular biologists, and clinicians. Prior
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, including protein structural analysis Job Requirements: PhD in Biological Sciences, Bioinformatics, Computational Biology, or related fields Prior research experience in machine learning or systems biology is
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bioinformatics skills. Strong written and oral communication skills. Key performance indicators (KPIs) Contribution to peer-reviewed publications and conference presentations. Successful completion of assigned
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; • Organization, systematization, and management of laboratory data. The candidate will also participate in the integration of experimental results with bioinformatics analyses and machine learning methodologies
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staff. The successful candidate will have a postgraduate degree, ideally a doctoral degree, in a relevant topic, experience in relevant fields such as biostatistics and/or bioinformatics, proven ability