Universiteit Leiden

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Data Science Research Programme

Overview PhD projects

The initial group of 14 projects has expanded to the current 21 projects.

 

ARCH

Alex
Brandsen

Big data in archaeology: harnessing the hidden knowledge in the “graveyard” of Malta reports

ARCH

Wouter
Verschoof

The use of Deep learning in the automated detection of archaeological objects in remotely sensed data

FGGA

Hugo
de Vos

Automated text analysis of policy-related documentation

FGGA

Annelieke
van den Berg

Improving citizens’ participation in public service delivery: the possibilities of data dashboards

FSW

Wouter
van Loon

Exploring new methods in comparing sign language corpora

FSW

Wout
Lamers

Detecting cross-linguistic syntactic differences automatically

FSW

Juan Bascur Cifuentes

Interactive visual retrieval of academic literature

FWN

Laura
Zwep

Modeling interactions to unravel biomarkers for disease progression and treatment response

FWN

Nuno
César de Sá

A new era for nature conservation using hyperspectral and lidar data; Oostvaardersplassen as a case study

FWN

Prajit
Dahr

Minimal structure modeling

FWN

Daniela
Gawehns

Exploratory Data Analysis for Multimodal Data

FWN

Xue
Wang

Visual Relation extraction Based on Deep Cross-media Transfer Network

FWN

Anne
Dirkson

Knowledge Discovery and Data Mining from patient experience repositories

FWN/
Sanquin

Marieke
Vinkenoog

Data Science for State-of-the-Art Blood Banking (BloodStart)

HUM

Martin
Kroon

Detecting cross-linguistic syntactic differences automatically

HUM

Manolis
Fragkiadakis

Exploring new methods in comparing sign language corpora

LAW

Gineke
Wiggers

Measuring relevance and relations of Dutch legal publications

LAW

Manon
Wintgens

The international tax system as a complex system

LUMC

Deeksha
Khialani

Study of utilization of combined hormonal contraceptives in Europe

LUMC

Antonis
Somarakis

Mortality and HyperImage: Visual analytics techniques for biomarker discovery in massive 3D-omics datasets

LUMC

Stelios
Paraschiakos

The interpretation of physical activity wearable data and its relation with metabolic and brain health in older adults

LUMC/
Sanquin

Shannon
Kroes

Meta‐modelling: development of methods and tools for the exchange, analysis and communication of anonymised patient data

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