Paid Internship
Work Mode
Time Spent
Required Degree
Duration

Open Positions

Experience More On the Go

GET IT ONGoogle Play
Download on theApp Store
© 2026you'll get it. all rights reserved.

Internship Explorer

  • Explore
  • Saved Internships
Sign In

Internship Explorer

  • Explore
  • Saved Internships
Sign In
Paid Internship
Work Mode
Time Spent
Required Degree
Duration

21Open Positions

Auto-load
  • PhD Position

    Universitätsklinikum Erlangen
    Erlangen, Germany
    Found 1 month ago
  • University assistant predoctoral/PhD Candidate

    University of Vienna
    Vienna, Austria
    Found 5 hours ago
  • PhD Physicist - 2026 summer placement

    Cambridge Consultants
    Cambridge, United Kingdom
    Found 7 hours ago
  • Superconducting Chip Design Internship H/F

    Alice & Bob
    Paris, France
    Found 3 days ago
  • Quantum Cryptanalysis Research Internship

    Alice & Bob
    Paris, France
    Found 3 days ago
  • Quantum Intern

    Fujitsu
    Santiago de Compostela, Spain
    Found 3 weeks ago
  • Quantum Intern

    Fujitsu
    Santiago de Compostela, Spain
    Found 3 weeks ago
  • Photon School 2026

    Helmholtz-Zentrum Berlin
    Berlin, Germany
    Found 4 weeks ago
  • Research Assistant (Part-time student position)

    Quantum Foundry Copenhagen
    Copenhagen, Denmark
    Found 1 month ago
  • Quantum Training Labs Intern

    kiutra
    Munich, Germany
    Found 1 month ago
  • PhD Student - Correlated topological matter in superconducting circuits

    Donostia International Physics Center (DIPC)
    Donostia / San Sebastián, Spain
    Found 1 month ago
  • Bachelor/Master student in (engineering) physics or similar (m/f/d)

    German Aerospace Center (DLR)
    Oberpfaffenhofen, Germany
    Found 1 month ago
  • Stage-Tesi Quantum

    Léonard.fr
    Roma, Italy
    Found 1 month ago

PhD Position

Universitätsklinikum Erlangen
Found 1 month ago
Location
Erlangen, Germany
Duration (Months)
12 Months
Time
Full-time
Work Mode
Not disclosed
Salary
TV-L E13
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • Advanced Organoid Culture
  • patient-derived colon organoids (PDCOs)
  • patient-derived tumor organoids (PDTOs)
  • Bacterial Culture
  • Nanoparticle Isolation
  • ultracentrifugation techniques
  • Nanoparticle Characterization
  • Molecular Assays
  • high-resolution confocal immunofluorescence
  • TEM
  • NTA
  • Computational Analyses
  • Next-Generation Sequencing
  • bulk RNA
  • single-cell whole-genome sequencing
  • proteomics
  • metabolomics
  • bioinformatics pipeline
  • machine learning algorithms
  • molecular biology standard methods
  • RNA/DNA isolation
  • qPCR
  • imaging techniques
  • confocal microscopy
  • IHC
  • Next-Generation Sequencing (RNA-seq, single-cell WGS, metagenomics)

Soft Skills

  • highly collaborative
  • innovative
  • team spirit
  • structured, independent working style

Job Description

Join a highly collaborative and innovative research environment at the Günther Lab, where we investigate fundamental mechanisms of host–microbe interaction with direct translational relevance in human disease. Our group focuses on how the intestinal microbiota and microbial products shape epithelial, immune, and stromal responses in inflammatory and oncogenic contexts. Colorectal cancer research is entering a transformative phase and you can be at the forefront of discovering how bacteria actively drive tumor initiation. The intestinal microbiota is increasingly recognized as a central determinant of colorectal cancer (CRC) development and progression. Beyond compositional shifts, functional properties of specific microbial populations critically shape epithelial transformation, genomic stability, and tumor–host interactions. In particular, certain pathobionts enriched in CRC patients produce genotoxic factors that directly damage host DNA and contribute to malignant transformation. Emerging evidence suggests that bacterial extracellular nanoparticles, including outer membrane vesicles (OMVs), represent a previously underappreciated mechanism of microbe–host communication. These nanoscale structures enable the protected transport of bioactive cargo across biological barriers, facilitating the targeted delivery of toxins and signaling molecules into host cells. By transferring genotoxic and immunomodulatory factors, bacterial vesicles may directly influence epithelial integrity, immune surveillance, and stromal remodeling — thereby actively shaping the tumor microenvironment (TME). Within this translational IZKF-funded project, you will investigate the hypothesis that bacterial extracellular vesicles are critical drivers of CRC initiation and progression. The project integrates mechanistic cell biology, advanced vesicle characterization, and tumor immunology to dissect how microbiota-derived nanoparticles influence tumor initiation and progression. This interdisciplinary project bridges microbiome research, cancer biology, and immunology, with the long-term goal of identifying novel diagnostic markers and therapeutic targets at the interface of host–microbe interaction in colorectal cancer. Your tasks: * Advanced Organoid Culture: You will establish, cultivate, and manipulate patient-derived colon organoids (PDCOs) and patient-derived tumor organoids (PDTOs). This includes generating specialized apical-out and apical-in organoid models to accurately mimic luminal exposure and study the effects of reverse polarity on EV uptake. * Bacterial Culture & Nanoparticle Isolation: You will work with various bacterial strains, including wild and bioengineered strains. You will be responsible for the isolation of EVs from conditioned media utilizing ultracentrifugation techniques (110.000 x g) to separate OMVs from EV-free fractions. * Nanoparticle Characterization & Molecular Assays: You will quantify and characterize genotoxic effects, such as the induction of DNA double-strand breaks, using high-resolution confocal immunofluorescence (e.g., γH2AX, F-actin, and DAPI staining). Furthermore, you will biophysically characterize isolated EVs by TEM, NTA and functional assays. * Computational Analyses & Next-Generation Sequencing: You will perform and analyze bulk RNA, single-cell whole-genome sequencing as well as proteomics and metabolomics. You will apply the bioinformatics pipeline, supported by machine learning algorithms.

Requirements

  • Successfully completed university degree (Master's or equivalent) in Molecular Medicine, Immunology, Microbiology, Biology, Bioinformatics, Biochemistry, or a related scientific discipline.
  • Strong practical experience in advanced 3D cell culture techniques, ideally handling patient-derived organoids.
  • Hands-on experience in microbiology/bacterial culture and ideally biochemical techniques for vesicle/nanoparticle isolation (e.g., ultracentrifugation).
  • Solid background in computational biology or bioinformatics, with a strong interest in analyzing large datasets from Next-Generation Sequencing (RNA-seq, single-cell WGS, metagenomics) and applying bioinformatics pipelines (e.g., machine learning algorithms).
  • Proficiency in molecular biology standard methods (RNA/DNA isolation, qPCR), and imaging techniques (confocal microscopy, IHC).
  • Excellent English communication skills, team spirit, and a structured, independent working style in an interdisciplinary environment.

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English
▶Apply Now

Similar Roles You Might Like

  • PhD Student (in data science, m/f/d)

    Leibniz Association
    Hamburg, Germany
    Found 1 month ago
  • U

    Internship Opportunity (100%) Zampieri Lab

    University of Basel
    Basel, Switzerland
    Found 3 weeks ago
  • Research Assistant in Synthetic Biology - BRIGHT

    DTU Physics
    Kgs. Lyngby, Denmark
    Found 1 month ago
  • Intern - BSc / MSc Student, R&D Discovery & Technology

    msd
    Boxmeer, Netherlands
    Found 2 weeks ago
  • Research Internship for Masters

    argenx
    Gent, Belgium
    Found 1 month ago
  • Intern, Discovery Data Science

    Genmab
    Utrecht, Netherlands
    Found 1 month ago