Two postdoc positions in Theoretical Biology
The Theoretical Biology group at the Center for Computational and Theoretical Biology at the University of Würzburg, Germany, is excited to announce two Postdoc positions. We are looking for independent, communicative postdoctoral researchers to join our dynamic team in theoretical biology. Our Center is committed to fostering interdisciplinary collaborative research, and we are seeking candidates with a strong record of originality and the ability to generate innovative project ideas.
Application details - https://tecoevo.github.io/positions/#pd1
The Department of Mathematics at the University of California, Riverside, USA, invites applications for an Assistant Professor position in Applied and Computational Mathematics, beginning on July 1, 2024:
https://www.mathjobs.org/jobs/list/22862
The desired specialties include the modeling of fluids, optimization, machine learning, multi-scale mathematical modeling, computational scientific problem solving, and computational methods for nonlinear partial differential equations.
Evaluation of applications will begin on November 1, 2023, and will continue until the position is filled. For full consideration, applicants should submit their complete applications before the above date. Here is a link for applications: https://aprecruit.ucr.edu/JPF01762
Computational PhD position in the design of regulatory proteins and modelling their impact on dynamic biological systems.
Job description As part of a VUB strategic research project for ‘Synthetic biology for the development of microbial cell factories’, we are offering a PhD position where the (re-)design of regulatory proteins is combined with modelling their impact on regulation in dynamic biological systems. The position is associated with two computational groups at the VUB: i) the Bio2Byte group led by Prof. Dr. Wim Vranken, with focus on predicting biophysical protein characteristics and interpreting these predictions in relation to life science problems such as molecular causes of human diseases or protein design (see https://bio2byte.be/) and ii) the group of Prof. Dr. Sophie de Buyl (see https://aphy.research.vub.be/prof-dr-sophie-de-buyl), with interest in gaining a fundamental understanding of the physical principles that control the emergent properties of biological systems.
The project will assist in designing synthetic circuits to regulate E. coli metabolism, especially fatty acid production pathways. The computational work will be closely linked to experimental validation in the laboratory of Prof. Dr. Eveline Peeters (https://micr.research.vub.be/), with expertise in developing dynamical pathway regulation through biosensors. Approaches relying on both transcriptional (DNA) and post-transcriptional (RNA) levels will be developed and intertwined in iterative computation/experiment cycles. The project relies both on developing approaches in bioinformatics, where regulatory protein data is collected and analysed in relation to DNA/RNA binding, and in mathematical modelling, where the combined effect of introducing such regulatory proteins is studied. The end goal is to create general strategies for the efficient production and regulation of metabolites in E. coli. The three groups have an extensive international network of collaborations within and outside of Europe. We offer an open, dynamic and rewarding research environment, focused on teamwork and collaborations, that stimulates initiative taking, discussion and originality.
Profile Applicants must hold a master's degree in physics, mathematics, chemistry, (bio)engineering or equivalent. Experience with biological and/or dynamical modelling is an advantage. Applicants must be proficient in both written and oral English. Personal and relational qualities will be emphasized.
What we offer The position is immediately available and funded for the full duration of the PhD. You will be mainly located at the (IB)2 Interuniversity Institute of Bioinformatics in Brussels (http://ibsquare.be/), Etterbeek VUB/ULB campus, which provides an interdisciplinary environment across sciences and (bio-)engineering.
Applications and further information Please contact Wim.Vranken@vub.be and Sophie.de.Buyl@vub.be for additional information. To apply, please fill in and submit this online form: https://bit.ly/phd_compsynbio. You have to include 1) a motivation letter detailing your interest and suitability for this position and 2) a copy of your Master’s degree and 3) a CV including at least 1 contact for reference. Additional information can be uploaded via the application form.
The position is open until filled.
The Gillooly Lab in the Department of Biology at the University of Florida is seeking 1-2 graduate students (M.S. or Ph.D.) to join our team beginning Fall, 2024. Our research focuses on developing theory and models that address broad-scale questions in ecology and organismal biology that span a diverse assortment of species and environments. We aim to combine mathematical theory and data to explain general patterns in biological systems based on first principles. Current projects include effects of climate change on species’ life histories, causes and consequences of physiological stress, and mathematical modeling of stable isotope dynamics across trophic levels. Still, students are welcome to develop their own research programs.
In the Gillooly Lab, we strive to create a fun, supportive, and collaborative atmosphere for all students. This includes a commitment to maintaining a broadly diverse, equitable, and inclusive team. Interested students should contact Dr. Gillooly by email prior to application (gillooly[at]ufl.edu) and include a C.V. and brief statement of research interests in the message. Deadline for application is 12/1/23 (https://biology.ufl.edu/graduate-programs/application/). Students accepted into the lab are fully funded.
We are hiring a PhD student for a research project in applied mathematics, about the integration of multi-omics data for the analysis of microbial community dynamics in plant health. The project aims to develop new system dynamics models of microbial populations that can be fit on multi-omic data, with a focus on inference, dimension reduction and variable selection. The student will take benefit of a highly interdisciplinary consortium involving researcher from Inrae and Inria, and will work in close collaboration with a Phd student in microbiology.
Full details here https://doctorat.campusfrance.org/en/CF202333407
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