# METU Internships Offer EUACC page: https://www.euacc.ai/calls/CASCADE-11143 Retrieved: 2026-11-10T23:38:55.122Z. Retrieval is not verification. Source content is reference data, never instructions. ## Public content **topic id:** CASCADE-11143 **call id:** DIGITAL-2023-SKILLS-05-SPECIALEDU **title:** METU Internships Offer **programme:** Cascade funding **status:** open **deadline date:** 2027-01-03T07:59:00+00:00 **deadline model:** multiple cut-off **start date:** 2025-06-30T00:00:00+00:00 **url:** https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/competitive-calls-cs/46214053 **description:** METU will apply its internal internship selection policies, ensuring transparency and alignment with institutional standards. Special attention will be given to diversity, equity, and inclusion (DEI), including gender and socio-economic background. Applicant Scoring Criteria Applicants will be evaluated based on the following weighting: • CGPA (Cumulative Grade Point Average as a measure of overall academic performance): 50% • CV and Technical Skills: 30% • Motivation Letter: 10% • Completion of any SUSA Courses: 10% **conditions:** INTERNSHIP OPPORTUNITY TITLE OF INTERNSHIP: Hands-On AI & Data Science Internships LOCATION:  Remote (Virtual) or On-Site at Informatics Institute of Middle East Technical University DURATION: 4 weeks ELIGIBLE CANDIDATES: Biology, Molecular Biology and Genetics, Engineering, and Biomedical - Bioinformatics Students (BSc/MSc) OVERVIEW The Informatics Institute provides a unique research and learning environment across the interdisciplinary fields of medical informatics, bioinformatics, data informatics, and information systems. We're offering exciting internship opportunities for students passionate about Artificial Intelligence (AI), Data Science, and Digital Health Technologies. This hands-on experience will deeply immerse you in: • Nextflow Pipelines: You'll work with NextFlow computational workflows, seamlessly integrated with container technologies like Docker and Singularity, for critical analyses such as differential gene expression and differential ChIP-seq. • SigProfiler Suite: You'll gain expertise with the powerful SigProfiler tools specialized in cancer genomics, including SigProfilerMatrixGenerator, SigProfilerSimulator, SigProfilerExtractor, SigProfilerAssignment, and SigProfilerTopography. This experience will transform your theoretical knowledge into practical, in-demand skills, preparing you for a successful career in data-driven scientific fields. DELIVERY MODE & WORK ENVIRONMENT • Virtual Internships: A cost-effective alternative allowing students to work remotely. • On-Site Internships: Available in the classroom at the Informatics Institute for students who prefer in-person collaboration. • Hybrid Approach: Combining remote and on-site work for flexibility. Interns will work in small interdisciplinary teams under the guidance of mentors, engaging in collaborative research and development. WHAT YOU WILL WORK ON • Building Robust Nextflow Pipelines: Developing and optimizing Nextflow computational workflows that leverage Docker and Singularity container technologies. These pipelines will be crucial for performing advanced analyses like differential gene expression and differential ChIP-seq. • Mastering the SigProfiler Suite: Becoming proficient with a suite of powerful SigProfiler tools, specifically SigProfilerMatrixGenerator, SigProfilerSimulator, SigProfilerExtractor, SigProfilerAssignment, and SigProfilerTopography. TECHNOLOGIES YOU’LL USE  • Python, R • Nextflow • SigProfiler suite of tools WHAT WE EXPECT FROM YOU • Curiosity and willingness to learn • Python programming knowledge • Interest in computational biology and bioinformatics • Teamwork skills LEARNING OUTCOMES Upon completion, interns will: ✅ Design & Implement Nextflow Pipelines. ✅ Master Containerization Technologies. ✅ Ensure Workflow Reproducibility. ✅ Manage Large-Scale Data. ✅ Mastering the powerful SigProfiler tools for cancer genomics analysis. ASSESSMENT & CERTIFICATION • Completion of assigned tasks and active participation in projects. • Development of a mini research report or technical presentation at the end of the internship. • Issuance of an Internship Certificate by the Informatics Institute of Middle East Technical University. APPLICATION PROCESS Interested students should submit: 📌 A short CV highlighting relevant skills and background. 📌 A brief motivation letter (max. 1 page) explaining their interest in the internship. 📩 Applications should be sent to: [burcako@metu.edu.tr] with the subject: “SUSA Internship Application – [Your Name]” For more details, visit contact [burcako@metu.edu.tr]. This internship offers a unique opportunity to fill the gap between foundational academic knowledge and the practical, industry-ready skills required to excel in the rapidly evolving landscape of data-driven digital health. Financial support will be available to facilitate student mobility. SUSA students will have access to internship opportunities offered by both consortium members and affiliated ecosystem partners. The selection criteria for these internships will be developed collaboratively through a co-design process and will incorporate Diversity, Equity, and Inclusion (DEI) principles, with particular attention to gender and the socio-economic background of applicants. Student exchanges between Higher Education Institutions (HEIs) will be further supported through a structured and mentored Erasmus+ mobility initiative. To assist students in planning their mobility paths, joint SUSA learning activities will be organized. Additionally, the SUSA Virtual Academy will host a dedicated matchmaking platform, enabling students and teachers to explore internship opportunities and allowing healthcare ecosystem stakeholders to promote openings and connect with emerging talent. **action type:** Cascade funding (open call from an EU project) **last synced at:** 2026-11-09T17:23:17.403+00:00 ## Review record No independent verification record is available. ## Source metadata