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Data Analysis (complex systems) PhD Projects, Programs & Scholarships

We have 51 Data Analysis (complex systems) PhD Projects, Programs & Scholarships

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  Scholarships available for SECReT: The International Training Centre for Security and Crime Related Research Degrees

Funding Type

PhD Type

UCL SECReT is the international centre for training in security and crime related research degrees, the first centre of its kind in Europe.
  Complex network analysis and resilience in large-scale multi-layer networks (Application Ref: SF19/EE/CIS/SHANG)
  Dr Y Shang, Prof A Bouridane
Applications accepted all year round

Funding Type

PhD Type

The goal of this project is to investigate and develop new data science approaches to model large-scale networks.
  20 Funded PhD Positions in the IMPRS-CellDevoSys - Integrating Biology, Physics, Chemistry & Computer Science

Funding Type

PhD Type

A 4-year PhD Program involving 3 renowned international institutes. the Max Planck Institute of Molecular Cell Biology and Genetics, the Center for Systems Biology Dresden, and the Max Planck Institute for the Physics of Complex Systems.
  20 Funded PhD Positions in the IMPRS-CellDevoSys - Integrating Biology, Physics, Chemistry & Computer Science

Funding Type

PhD Type

A 4-year PhD Program involving 3 renowned international institutes. the Max Planck Institute of Molecular Cell Biology and Genetics, the Center for Systems Biology Dresden, and the Max Planck Institute for the Physics of Complex Systems.
  Fully-Funded PhD Positions in Biology, Computer Science, Data Science & Scientific Computing, Mathematics, Neuroscience and Physics

Funding Type

PhD Type

 The Institute of Science and Technology Austria (IST Austria) is looking for highly qualified candidates with bachelor's or master's degrees to apply for the IST Austria PhD program.
  Rail Innovators PhD Scholarship
  Prof D Creighton, Prof CP Lim
Applications accepted all year round

Funding Type

PhD Type

The Institute of Intelligent Systems Research and Innovation (IISRI) currently offers an industry-funded PhD scholarship to a student who is ready to enrol on a full-time basis for conducting cutting-edge research in the transport/rail sector at Deakin University, together with our industry partner, Downer EDI Rail.
  SCENARIO - Causal discovery algorithms for the study of climate change impacts on the global water cycle
  Research Group: SCENARIO NERC DTP
  Dr M.I. Hegglin, Dr V Ojha
Application Deadline: 24 January 2020

Funding Type

PhD Type

The water cycle plays a critical role in shaping the global environment and supporting life on Earth. Climate change is predicted to lead to changes in the water cycle, affect available water resources, and as a consequence endanger the livelihoods of societies especially in the developing world.
  Characterisation of free radical intermediates in photoredox catalysis: synthetic applications aided by mechanistic understanding
  Dr V Chechik, Dr A R Rickard
Application Deadline: 8 January 2020

Funding Type

PhD Type

Background. Development of photoredox catalysis in the late 2000s revolutionised the use of free radical chemistry in organic synthesis.
  An AI-driven approach to proactive Internet Of Things (IoT) based systems - Project ID SOC0008
  Prof X Liu
Applications accepted all year round

Funding Type

PhD Type

The Internet of Things (IoT) refers to the ever-growing network of physical objects such as smart devices, vehicles, buildings and other items embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to interact autonomously and intelligently.
  Computational algorithms to model the interplay between brain structure and function
  Dr J Escudero Rodriguez
Application Deadline: 15 January 2020

Funding Type

PhD Type

This exciting PhD project will develop computational models and analysis techniques to explore how the main connections between brain regions shape the characteristics of brain activity, and how different kinds of pathological processes damaging the connections of the network result in changes in the brain activity.
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