B.Sc. / M.Sc. Theses
19.01. - 19.07.2026
Jakob Antonin Demmer, M.Sc. Computational Biology
"Extending Immune Cell-Type Deconvolution for Predicting Immune-Aging Patterns Across Species"
14.10.2025 - 19.07.2026
Janosch Wilhelm Scherler, M.Sc. Computational Biology
"Exploring Immune Behavior in Long COVID Using Advanced Machine-Learning Methods"
01.04. - 30.09.2025
Laurenz Engel, M.Sc. Data Science
"Improving estimation of cellular composition in bulk RNA-seq data using ensemble-based machine learning"
09.08. - 09.11.2021
Ryck Leberecht, B.Sc. Biology
"Computational multi-omics analysis of Mature B-cell Lymphomas"
Internships
01.09. - 28.10.2025
Muneeb Sayed, M.Sc. Computational Biology
"Do immune cell fractions predict survival after trimodality therapy in esophageal/GEJ adenocarcinoma?" (full-time)
14.07. - 01.08.2025
Benjamin Eckhardt, M.Sc. Informatics
"Tissue deconvolution - evaluating DynaMiCs on corresponding bulk and single-cell transcriptomes" (full-time)
02.06. - 20.06.2025
Muneeb Sayed, M.Sc. Computational Biology
"T-cell repertoire analysis in response to yellow fever vaccination" (full-time)
02.06. - 29.08.2025
Andrés Gallego Eziquio, M.Sc. (Erasmus student, Tecnológico de Monterrey)
"Computational analysis of prognostic immune signatures in pouchitis" (full-time)
05.05. - 27.06.2025
Jakob Antonin Demmer, M.Sc. Computational Biology
"Computational annotation and analysis of single-cell RNA-seq in COVID-19" (2d/week)
25.03. - 29.08.2025
Prashanth Sridhar, M.Sc. Computational Biology
"Peptide-protein docking for predicting TCR-antigen interaction" (full-time)
25.03. - 20.05.2025
Janosch Wilhelm Scherler, M.Sc. Computational Biology
"Computational analysis of immune aging trajectories" (full-time)
17.02. - 14.04.2025
Jakob Antonin Demmer, M.Sc. Computational Biology
"Application of T Cell Receptor Repertoire Analysis to COVID-19" (full-time)
07.08. - 25.08.2023
Ozan Kanbertay, M.Sc. Computational Biology
"Predicting TCR structure with AlphaFold" (full-time)
30.05. - 12.08.2024
Anna-Rosa Krüger, B.Sc. Data Science
"Evaluation of tools for T-cell receptor analysis" (2d/week)
11.07. - 29.07.2022
Friederike Jahnke, M.Sc. Developmental, Neural and Behavioral Biology
"Alignment-free clustering of T-cell receptor clones in classical Hodgkin's Lymphoma using MMSeqs2" (full-time)
28.06. - 06.08.2021 Ryck Leberecht, B.Sc. Biology,
"Processing and interpretation of lymphoma-based data" (full-time)
Student Assistant
07.03. - 31.08.2022
Laurenz Engel, B.Sc. Data Science
"Computational multi-omics analysis of classical Hodgkin's Lymphoma"
Courses
UPCOMING (full-time; block course): Introduction to statistics in R
14.04. - 30.06.2026 (2,5h/week; semester course)
Introduction to statistics in R
14.04. - 16.04.2026 (full-time; block course)
Introduction to R and RNA-seq Analysis
23.02. - 27.02.2026 (full-time; block course)
Introduction to statistics in R
13.11.2025 (full-time; block course)
Single-cell and spatial transcriptomics for molecular biology students
19.05. - 23.05.2025 (full-time; block course)
R course for biology PhD students of the exTra consortia
31.03. - 04.04.2025 (full-time; block course)
Introduction to statistics in R
11.11.2024 (full-time; block course)
Single-cell and spatial transcriptomics for molecular biology students
09.11. - 12.11.2021 (full-time; block course)
Genomics Data Analysis - Course for Molecular Biology
26.07. - 29.07.2021 (full-time; block course)
Supervised Learning & Enrichment
Open Positions
I am already looking for a PhD student (100% TV-L E13) to join my upcoming project on explainable AI for personalized immune prediction from limited data.
Project start: October 01, 2026
Interested candidates can send their CV, a brief motivation letter, and the names and contact details of 1-3 references to me.
Home
About me
CV
Career, skills, and scientific background
Publications
Peer-reviewed research articles and preprints
Conferences
Presentations at scientific meetings
Contact
Mail: nicole.seifert@bioinf.med.uni-goettingen.de