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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 12 days ago
, computational biology, etc.) disciplines. GönomiX: Focuses on the evolution of gene regulatory networks and Wnt pathway functions in emerging model organisms (e.g. insects, annelids, snails, flatworms, cnidarians
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Description In this project, you will contribute to the development of a multimodal preclinical imaging platform, which you will then apply longitudinally to study skeletal muscle changes in a mouse model of
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of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation of the mathematical models of the patho-physiology and PK/PD
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equations and apply them to models for marine biofilm growth. Join a stimulating research environment, tackle timely open questions and engage with a vibrant academic community. The Mathematics Department
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Research FieldEnvironmental science » EcologyEducation LevelMaster Degree or equivalent Skills/Qualifications • A degree in science or mathematics (e.g., biology, ecology, physics, as well as mathematics
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process). The PhD project is affiliated to the National Research Center for Zero Emissions Metal Production (FME ZeMe). The main aim of this PhD project is to develop mathematical models relevant
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PhD Candidate, you will develop new analytical theories and methods for complex systems of partial differential equations and apply them to models for marine biofilm growth. Join a stimulating research
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-analytical errors and build mathematical models to describe these changes. This work can have real clinical impact, potentially resulting in digital software solutions for identifying, and compensating
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techniques); giving mathematical proofs of their correctness and efficiency; building state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming