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corresponding scientific project management is desirable Confident in independent bioinformatic and statistical analysis of high-throughput sequencing data Experience in working with biofilms is desirable
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master's degree (or equivalent) and PhD in Mathematics/Statistics/Data Science Research expertise in the analysis of complex systems Familiar with network analysis, concepts of resilience (e.g. adaptive
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email will not be considered. Application procedure and conditions We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity
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, Genetics, Cell Biology, Biophysics or a related field - Competency in computational (R or Python) and statistical analysis - Competency in experimental design and standard molecular biology, imaging
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team composed of researchers, engineers, bioinformaticians, biostatisticians and a project manager. The ideal candidate should hold a Ph.D. in Population genomics, Statistical Genomics, Evolutionary
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Training: A Ph.D. in biomedical science, engineering, bioinformatics, or related areas is required. Backgrounds in cell and molecular biology, cell culture, imaging, statistics are preferred but not required
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Familiarity with statistical analysis and interpretation of experimental data Experience in scientific writing, especially for publications and third-party funding applications Proficient English and, ideally
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Your profile PhD in psychology, with a focus on at least one of the below areas: Cognitive psychology Differential psychology Neuropsychology Evaluation and Assessment Methodology and Statistics Interest
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applications related to environmental systems and decision-making under uncertainty. Contact Information Project C Christian Ewald, Department of Mathematics and Mathematical Statistics, Umeå University
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PhD or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational and statistical