PhD candidates at CompSci

CompSci will recruit 32 doctoral candidates in total. Here you can meet the current CompSci PhD candidates and read more about their projects.

Amandine Kaiser

Amandine Kaiser

From Germany.
She is working on the project "Modelling microscale atmospheric turbulence in the surface layer" within Geoscience.

Anthony Camposano

Anthony Camposano

From Philippines.
He is working on the project "Machine-learning-based molecular modelling of nanoscale geological processes" within Physics.

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Claudio Meggio

From Italy.
He is working on the project "Statistical learning method for chemistry applications" within Mathematics.

Fahimeh Najafi

Fahimeh Najafi

From Iran.
She is working on the project "Frictional properties of surface structures generated by machine-learning" within Physics.

Frederik Rogge

Frederik Rogge

From Germany.
He is working on the project "Large-scale recordings of neurons to reveal mechanisms of learning and memory" within Biosciences.

Hannes Kneiding

Hannes Kneiding

From Germany.
He is working on the project "Catalyst discovery by combining computational chemistry with machine learning" within Chemistry.

Harish Jain

Harish Jain

From India.
He is working on the project "Mesoscale modelling of turbulence and swarming behaviour in soft active matter" within Physics.

Homa Priya Tarigopula

Homa Priya Tarigopula

From India.
She is working on the project "Bio-inspired neural networks for navigation" within Biosciences.

Kosio Beshkov

Kosio Beshkov

From Bulgaria.
He is working on the project "Large-scale network simulations of mouse visual cortex" within Biosciences.

Mohamed Safy

From Egypt.
He is working on the project "Computational modelling of reaction mechanisms involving metal-organic frameworks" within Chemistry.

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Tómas Zoëga

From Iceland.
He is working on the project "Variable mesh earth system modelling of the climate effects of volcanic eruptions" within Geoscience.

Wenxue Cao

Wenxue Cao

From China.
He is working on the project "Incorporating real time data stream in modeling the state of the Arctic cryosphere" within Geoscience.

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