Doktorander vid Centrum för interdisciplinär matematik (CIM)

Nuvarande doktorander

Ask Ellingsen

• Institution: matematik
• Antagen: 2022
• Projektbeskrivning: se engelska sidversionen

Yoann Sohnle

• Institution: fysik och astronomi
• Antagen: 2022

Hannes Gustafsson

• Institution: kemi - Ångström
• Antagen: 2022

David Meadon

• Institution: IT
• Antagen: 2022
• Projektbeskrivning: se engelska sidversionen

Gesina Menz

• Instiution: IT
• Antagen: 2022
• Projektbeskrivning: se engelska sidversionen

Andreas Michael

• Institution: IT
• Antagen: 2021
• Projektbeskrivning: se engelska sidversionen

Sanya Karilanova

• Institution: Elektroteknik
• Antagen: 2021
• Projektbeskrivning: se engelska sidversionen

Li Ju

• Institution: IT
• Antagen: 2021
• Projektbeskrivning: se engelska sidversionen

Swarnadip Chatterjee

• Institution: IT
• Antagen: 2021
• Projektbeskrivning: se engelska sidversionen

Alfred Andersson

• Institution: Cell- och molekylärbiologi
• Antagen: 2020
• Projektbeskrivning: se engelska sidversionen

Marc Fraile Fabrega

• Institution: IT
• Antagen: 2020
• Projektbeskrivning: se engelska sidversionen

Roman Mauch 

• Institution: Fysik och astronomi
• Antagen: 2020
• Projektbeskrivning: se engelska sidversionen

Lisanne Knijff 

• Institution: Kemi
• Antagen: 2020
• Projektbeskrivning: se engelska sidversionen

Olga Sunneborn Gudnadottir

• Institution: Fysik och astronomi
• Antagen: 2019
• Projektbeskrivning: se engelska sidversionen

Daniel Panizo Pérez

• Institution: Fysik och astronomi
• Antagen: 2019
• Projektbeskrivning: se engelska sidversionen

Håkan Runvik

• Institution: IT
• Antagen: 2019
• Projektbeskrivning: se engelska sidversionen

Lukas Lundgren

• Institution: IT
• Antagen: 2018
• Projektbeskrivning: se engelska sidversionen

Rebekka Müller

• Institution: Matematik
• Antagen: 2017
• Projektbeskrivning: se engelska sidversionen

Esteban Velez

• Institution:: Kemi
• Antagen: 2017

Linnéa Gyllingberg

• Institution: Matematik
• Antagen: 2016
• Projektbeskrvning: se engelska sidversionen

Tidigare doktorander

David Widmann

• Institution: IT
• Antagen: 2017
• Projekt: Reliable Uncertainty Quantification in Statistical Learning

Elisabeth Wetzer

• Institution: IT
• Antagen: 2017
• Projek: Representation Learning and Information Fusion: Applications in Biomedical Image Processing

Carmina Fjellström

• Institution: Matematik
• Antagen: 2018
• Projekt: Selected Topics in Mathematical Modelling: Machine Learning and Tugs-of-War

Eva Breznik

• Institution: IT
• Antagen: 2016
• Projekt: Image Processing and Analysis Methods for Biomedical Applications

Michael Weiss

• Institution: Geovetenskap
• Antagen: 2017
• Projek: Implementation of the spectral element method and iterative solution techniques for 3D controlled-source electromagnetic modelling

Mathew Magill

• Institution: Fysik och astronomi
• Antagen: 2017
• Projekt: Aspects of vacuum moduli in string theory

Marcus Westerberg

• Institution: Matematik
• Projekt: Prostate cancer incidence, treatment and mortality: Empirical longitudinal register-based studies and methods for handling missing data

Ylva Rydin

• Institution: IT
• Projekt: Finite Difference Methods for Time-Dependent Wave Propagation Problems

Kristiina Ausmees

• Institution: IT
• Projekt: Methodology and Infrastructure for Statistical Computing in Genomics: Applications for Ancient DNA

Fredrik Wrede

• Institution: IT
• Projekt: Large-scale simulation-based experiments with stochastic models using machine learning-assisted approaches: Applications in systems biology using Markov jump processes

Akshay Krishna Ammothum Kandy

• Institution: Kemi
• Projekt: Linear models for multiscale materials simulations: Towards a seamless linking of electronic and atomistic models for complex metal oxides

Yevgen Ryeznik

• Institution: Matematik
• Projekt: Optimal adaptive designs and adaptive randomization techniques for clinical trials

Zahedeh Bashardanesh

• Institution: Cell- och molekylärbiologi
• Projekt: Effect of Macromolecular Crowding on Diffusive Processes

Daniah Tahir

• Institution: Matematik
• Projekt: Multi-trait Branching Models with Applications to Species Evolution

Jakob Spiegelberg

• Institution: Fysik och astronomi
• Projekt: Blind Source Separation in Electron Microscopy

Yu (Ernest) Liu

• Institution: Matematik (Externt finansierad)
• Projekt: From non-life, to life, to a variety of life

Fredrik Hellman

• Institution: IT
• Projekt: Numerical Methods for Darcy Flow Problems with Rough and Uncertain Data

Natalia Zabzina

• Institution: Matematik
• Projekt: Cooperativity Mechanisms and Collective Decision-making

Beatriz Villarroel

• Institution: Fysik och astronomi
• Projekt: The Formation of Active Galaxies as Inferred from Advanced Statistical Methods

Martin  Almquist

• Institution: IT

Arianna Bottinelli

• Institution: Matematik
• Projekt: Modelling Animal Collective Behaviour and Decision Making

Marta Leniec

• Institution: Matematik
• Projekt: Pricing defaultable contingent claims in enlarged filtrations

Radoslav Kozma

• Institution Ekologi och genetik
• Projekt: A biomathematical approach to the plumage colour differences in the Willow grouse

Anel Mahmutovic

• Institution: Cell- och molekylärbiologi
• Projekt: Quantitative Modelling and Simulation of Reaction-diffusion Processes

Shyam Ranganathan

• Institution: Matematik
• Projekt: Development Space: Data-driven dynamical systems models for studying human development.

Boris Granovskiy

• Institution: Matematik (Externt finansierad)
• Projekt: Modeling Collective Decision Making by Animal Groups

Qi Ma

• Institution: Matematik
• Projekt: Stochastic models of aggregation and network formation

Daniel Strömbom

• Institution: Matematik
• Projekt: Collective Motion from Local Attraction