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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 2 months ago
at CASUS (Task Area 3) # Present and publish results at scientific conferences and high impact peer-reviewed scientific journals Your profile # Completed university studies (PhD) in the field
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outside Duke University. Preferred qualifications: PhD (completed in the last 1-5 years or PhD candidate) in a quantitative discipline, including Computational Biology, Bioinformatics, Computer Science
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, with potential for renewal based on funding and performance. Additional Information: PhD in Molecular Biology, Biochemistry, Molecular Epidemiology, Evolutionary Biology, Bioinformatics, Biostatistics
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, and neuroscience. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications PhD in Bioinformatics, Biostatistics
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projects. It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification
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? For preliminary inquiries, you may send your CV to tchekouo@umn.edu Qualifications Required Qualifications: PhD degree in biostatistics, statistics, or a related field Strong computing/programming and communication
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Bioinformatics, Computer Science, Medical Informatics, biostatistics or a related discipline, with a good research publication record and strong programming skills. Preference will be given to those with previous
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. Responsibilities/Duties: · Perform biostatistics and bioinformatics for scRNA seq analysis. · Perform molecular, cellular, biochemical and immunological analyses · Optimize and troubleshoot experimental protocols
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related training and interests. ● PhD or equivalent doctoral degree in statistics, biostatistics, epidemiology, public health, ecology, quantitative biology, or any other related fields with strong
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expertise in molecular and cellular biology to advance our research initiatives and enhance computational methodologies. Ideal candidates should have a PhD in Biology, Neuroscience, Computational Biology