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ABOUT
Participating Institutions
PhD Program Structure
Organizational Structure
PEOPLE
Supervising PIs
Doctoral Students
Associated Doctoral Students
Graduates
Contributing Researchers
Coordinating Office
RESEARCH
Projects
Dissemination
EVENTS & TRAINING
Lecture Series
PhD Seminar
Workshops
Retreats
Spring Schools
External Events & Training
ADMISSION
Association to HEIBRiDS
Open PhD positions
Recruitment Process
Eligibility
NEWS
News from HEIBRiDS
News from HIDA/HIDSS

HEIBRIDS › PEOPLE › Doctoral Students
Ekin Celikkan

Bayesian Machine Learning with Uncertainty Quantification for Detecting Weeds in Crop Lands from Low Altitude Remote Sensing

Daniel Collin

Predicting geomagnetic conditions on the Earth from multi-spectral images of the Sun by combining data science and physical models

Veronika Döpper

Tracing 3-D high latitude environmental change with billions of remotely sensed points

Binayak Ghosh

Online Learning and Decision Making for Real-Time Analytics of Synthetic Aperture Radar (SAR) Data

Paolo Graniero

Data Analytics for Solar Energy Yield and Optimization Possibilities for Load Management of Electric Buses

Brian Groenke

Quantifying and explaining uncertainty in modeling permafrost thaw under a warming climate

Viktoriia Huryn

Multi-resolution models for single-cell genomics data

Thorren Kirschbaum

Data-Driven Time-Dependent Multiphysics Simulation and Optimization of Electron Solvation from Nanodiamonds

Olga Kondrateva

On-board Image Classification based on Space-Based FPGA Processing

Daniel León Periñán

Towards molecular digital pathology: leveraging spatial transcriptomics and deep learning to predict gene expression from tissue morphology in solid tumors

Henning Lilienkamp

Enhanced Computational Approaches for Seismic Risk Assessment of Infrastructure Networks

Oleksii Martynchuk

Identification of Rock Falls in Mars Reconnaissance Orbiter Images Using Machine Learning

Abhay Mehta

Context-awareness in real-time image classification for ground-based gamma-ray telescopes

Nicolas Miranda

An unsupervised census of astrophysical transients in the universe

Lusiné Nazaretyan

Identification of Disease-causing Genetic Variants by Genome-wide Predictions of Human Variant Effects

Gregor Pfalz

Arctic Environmental Data Analytics

Sergey Redyuk

End-to-End Management of Experimental Data Science on Biomedical Molecular Data

Tabea Rettelbach

Facilitating Machine Learning on Super-High Resolution Earth Observation Data for Detecting and Quantifying Arctic Permafrost Thaw Dynamics

Elizabeth Robertson

Building a Photonic Processor for Energy-Efficient AI

Jonas Schaible

Data-driven performance optimization of coloured and textured solar modules

Kanishka Singh

Machine Learning Meets Theoretical Chemistry: Data-driven Analysis of Grapheneoxide

Hermann Stolte

Dynamic Scheduling of Gamma-ray Source Observations

Kevin Styp-Rekowski

Multi-satellite Approach of Monitoring Atmosphere/Magnetosphere Space Weather Interactions

Christian Utama

Explainable Artificial Intelligence and Trust in the Energy Sector

Femke van Geffen

Data fusion using remote sensing data and machine/deep learning techniques to better understand present past and future vegetation dynamics in Central Yakutia

Nadja Veigel

Data Mining Dynamic Human Behaviors for Flood Risk Assessment in Coupled Human-environment Systems

Leon Weber

Corpus-wide inference of gene relationships using semantic word representations

Xiaoyan Yu

Deep Learning with sparse annotations for the analysis of lung tissue microscopy images

Freie Universität Berlin Humboldt-Universität zu Berlin Technische Universität Berlin Charité - Universitätsmedizin Berlin Helmholtz Information & Data Science Academy (HIDA) Einstein Center Digital Future Alfred Wegener Institute - Helmholtz Centre for Polar and Marine Research (AWI) Deutsches Elektronen-Synchrotron (DESY) German Aerospace Center (DLR) German Research Centre for Geosciences (GFZ) Helmholtz Zentrum Berlin für Materialien und Energie (HZB) Max-Delbrück Center for Molecular Medicine (MDC)
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