胚胎发育数字孪生博士职位

100%, Basel, fixed-term print The Computational Biology Group (Prof Dagmar Iber) at D-BSSE develops digital twins of embryonic development using image-based mechanistic modelling and simulation. Project background Organogenesis, the formation of organs during embryonic development, depends on tightly coordinated cell signalling, growth and mechanics. Our group combines quantitative imaging data with mathematical and computational models to understand how tissues self-organise and how this process goes wrong in disease. We work closely with experimental collaborators and develop open-source simulation tools. Job description The PhD position focuses on developing mathematical and computational models of mouse and human development. You will: develop data-based, mechanistic models and simulations of tissue development integrate quantitative imaging data from experimental collaborators into your models publish your results and present them at international conferences contribute to the group's open-source simulation tools and to teaching Profile We are looking for a self-motivated candidate who is enthusiastic about developing data-based mathematical models in developmental biology. The position suits someone with training in biology, mathematical modelling and scientific computing. You should have: a Master's degree a solid understanding of developmental, cell and molecular biology, and the ability to interpret experimental and imaging data experience in mathematical modelling, for example with ordinary or partial differential equations, dynamical systems or stochastic models, gained through coursework, a thesis or a project programming experience in a language such as Matlab, Julia, Python or R good written and spoken English During the PhD you may also work with finite element methods (e.g. COMSOL) and C++ software. Prior experience with these is not required. Workplace Workplace We offer A PhD position in an interdisciplinary, international research environment at the interface of mathematics, computing and biology Close collaboration with leading experimental groups Excellent infrastructure and computing resources at ETH Zurich Support for your scientific development, including conference travel and training Competitive ETH doctoral salary and conditions chevron_right Working, teaching and research at ETH Zurich We value diversity and sustainability In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future . Curious? So are we. We look forward to receiving your online application with the following documents: A letter of motivation CV BSc & MSc diplomas and transcripts Contact details of 2 referees Applications will be reviewed on a rolling basis until the position is filled. Further information about the CoBi group can be found on our website . Questions regarding the position should be directed to Prof Dagmar Iber, dagmar.iber@bsse.ethz.ch (no applications). Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. Curious? So are we. We look forward to receiving your online application with the following documents: A letter of motivation CV BSc & MSc diplomas and transcripts Contact details of 2 referees Applications will be reviewed on a rolling basis until the position is filled. Further information about the CoBi group can be found on our website . Questions regarding the position should be directed to Prof Dagmar Iber, dagmar.iber@bsse.ethz.ch (no applications). Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. Apply online now About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow. Let’s connect

Profile We are looking for a self-motivated candidate who is enthusiastic about developing data-based mathematical models in developmental biology. The position suits someone with training in biology, mathematical modelling and scientific computing. You should have: a Master's degree a solid understanding of developmental, cell and molecular biology, and the ability to interpret experimental and imaging data experience in mathematical modelling, for example with ordinary or partial differential equations, dynamical systems or stochastic models, gained through coursework, a thesis or a project programming experience in a language such as Matlab, Julia, Python or R good written and spoken English During the PhD you may also work with finite element methods (e.g. COMSOL) and C++ software. Prior experience with these is not required.