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Your Job: Become part of the Microscale Bioengineering working group! We will tailor your individual research project to your technical expertise and personal interests. Development and optimization of microfluidic cultivation platforms for co-cultures Live-cell microscopy (including...
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food trade model is used to study the impacts of AMOC collapse on global food security. Your qualities We are looking for inspiring and driven candidates who have: a MSc in physics, applied mathematics
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year before the position expires, you will be offered an interview to clarify your future career. Description of the PhD position: The PhD research will focus on mathematical / computational modeling
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the Applied and Computational Mathematics group. His research focuses on time integration methods for all types of (coupled) dynamical systems, with a focus on port-Hamiltonian ODEs, DAEs and PDEs with
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equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new optimization techniques, coding new algorithms, creating new mathematical
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degree in computational engineering, mechanical engineering, computer science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural
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Kaiyuan International Mathematical Sciences Institute Position ID: 3545 -RESEARCHER [#26224] Position Title: Position Location: Changsha, 湖南 410008, China [map ] Subject Area: mathematics
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Kaiyuan International Mathematical Sciences Institute Position ID: 3545 -RA [#26225] Position Title: Position Location: Changsha, 湖南 410008, China [map ] Subject Area: mathematics,statistics and
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teaching or other departmental duties, up to a maximum of 20 per cent of full-time. Your qualifications You have graduated at a Master’s level in Computer Science, Mathematics, or a closely related subject
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. Your job In this PhD position, you will conduct idealised experiments with an atmospheric model (OpenIFS), using concepts from the mathematical field of periodically forced dynamical systems. You will