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networks. The interdisciplinary approach of DYNABIO bridges biology with computer science, mathematics, chemistry, and physics. Research carried out within DYNABIO teams spans a wide range of models and
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methods for continuous trait evolution. We welcome candidates with strong backgrounds in quantitative biology, applied mathematics, physics, computational science, statistics, or related fields. Main
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)computer science, (bio)physics, mathematics, engineering or similar degree from STEM - advanced programming skills in Python - experience with ODE modeling, in pharmacokinetics, ADME, pharmacology
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Biology, Evolutionary Biology, Microbiology, Epidemiology, Biostatistics, Applied Math, or related field. Strong coding/computing skills. Familiarity or strong interest in the analysis of pathogen genomic
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and quantum computing methods, with a passion for developing innovative computational approaches to solve complex biological problems. You may also: Have a PhD in statistics, computational biology
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3 Mar 2026 Job Information Organisation/Company Umea University Research Field Biological sciences » Biology Physics » Biophysics Chemistry » Physical chemistry Chemistry » Biochemistry Engineering
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 8 hours ago
expected to develop and run workshops to introduce your work to end users. For further detail on the Lanfear Lab, our ideals and goals please visit our webpage: http://biology.anu.edu.au/research/labs
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» Biology Chemistry » Biochemistry Biological sciences » Other Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 23 Mar 2026 - 23:59 (Europe/Lisbon) Country
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to interpret experimental observations. The GLYCOCALYX Network will train 15 PhD Fellows in chemistry, physics and biology methods and concepts required to resolve the dynamic organisation of glycocalyces
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values of diversity and integrity. You may be a great fit if: You are an experienced evolutionary-developmental biologist with a PhD in molecular biology, adept at computational and functional genomics