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Computational protein design for hybrid nanopore sensors

Abschlussarbeit

Leuven (Belgium)

Veröffentlicht am 2. September 2026

  • Vertragsart

    Abschlussarbeit

  • Ort

    Leuven (Belgium)

  • Startdatum

    Ab sofort / nach Vereinbarung

  • Gehalt

    Keine Informationen angegeben

  • Homeoffice/Telearbeit

    Nicht angegeben

This internshipproject addresses a key issue of nanopore technology: the integration of thebiopore with electronic devices. By designing new proteins that betterinterface solid-state nanopore technologies, we aim to enable the assembly of adense array of individually readable nanometer-scaled protein nanopores on asensor chip. Such a "hybrid nanopore" concept would open the door to nextgeneration DNA and protein sequencing approaches, as well as the development ofnovel wearable devices and point-of-care technologies for the real-timeidentification of molecules and biomarkers. In this Master thesis computationalprotein design will be leveraged to develop versatile hybrid nanopores. To findthe best possible fit to solid-state pores, we will use de novo design andhigh-throughput experiments combined with cutting-edge semiconductor processingtechniques. The Master thesis involves both wet lab and computational work witha balance that can be adapted to the candidate expertise/interests. The project proposed is a collaboration between VUB and IMEC.

Type of internship: PhD internship, Master internship

Duration: 5-6 months

Required educational background: Bioscience Engineering, Chemistry/Chemical Engineering, Nanoscience & Nanotechnology, Physics, Electrotechnics/Electrical Engineering, Materials Engineering

University promotor: Pol Van Dorpe (KU Leuven)

Supervising scientist(s): For further information or for application, please contact Jose Morales Hellin (< E-Mail aus Sicherheitsgründen gelöscht >) and Koen Martens (< E-Mail aus Sicherheitsgründen gelöscht >)

The reference code for this position is 2026-INT-073. Mention this reference code in your application.

Applications should include the following information:
  • resume
  • motivation
  • current study

Incomplete applications will not be considered.

Bewerbungsfrist

Solange das Stellenangebot online ist

Studienniveau

Master-Niveau, MSc oder äquivalent

Funktion

Technologie

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