Kies je regio

Selecteer de regio die het beste past bij je locatie of voorkeuren.

Kies je sitetaal

Deze instelling regelt de taal van de gebruikersinterface, inclusief knoppen, menu's en alle tekst op de site. Selecteer je voorkeurstaal voor de beste browse-ervaring.

Kies de talen voor vacatures

Selecteer de talen voor vacatures die je wilt zien. Deze instelling bepaalt welke vacatures aan jou worden getoond.

Graduate School of Quantitative and Molecular Biosciences Munich (QMB)

Graduate School of Quantitative and Molecular Biosciences Munich (QMB)

Website bezoeken

Over de werkgever

The Graduate School of Quantitative and Molecular Biosciences Munich (QMB) was established in 2012 under the German Excellence Initiative. Initially named Quantitative Biosciences Munich, the school expanded its focus in 2024, prompting the name change to reflect its broader scope. The international PhD training program at QMB emphasizes communication and collaboration across traditionally separate disciplines, including biochemistry, medicine, bioinformatics, experimental and theoretical biophysics, and applied mathematics.

QMB places a strong emphasis on experimental work while also encouraging students to engage in theoretical approaches to derive meaningful insights from their data. This dual focus on advanced quantitative experimentation and theoretical analysis, combined with the excellence of its participating scientists, positions QMB uniquely within the European scientific landscape.

Key elements of the QMB program are:

  • an interdisciplinary research project
  • a substantial program of formal course work
  • a professional skills program

QMB is a joint initiative by leading scientists from the Ludwig-Maximilians-University Munich, the Technical University Munich, the Max-Planck Institute of Biochemistry and the Helmholtz Center Munich.

Application

Please note that you need to have a completed Master’s degree or equivalent in a relevant field prior to starting the PhD program. All applications have to be submitted in English through our online application tool. Applications submitted by mail or email will not be considered.
For detailed information about our application requirements see: https://qbm.genzentrum.lmu.de/application/requirements/ (link is external)
In your application, you can select up to two research groups you are interested in. For details about research areas and participating research groups, please see:
https://qbm.genzentrum.lmu.de/research/research-areas-groups/ (link is external).

Application opens                       July 15th, 2024
Application deadline                   September 18th, 2024
Reference deadline                     September 23rd, 2024
Notification of candidates          October 25th, 2024
Interviews                                    scheduled on an individual basis
Program start                               March 2025

Locatie werkgever

Vergelijkbare werkgevers

Dit vind je misschien ook interessant

Why KTH Is the Ideal Place to Shape the Future Through Your Work
Why KTH Is the Ideal Place to Shape the Future Through Your Work KTH Royal Institute of Technology Leestijd: 5 min
Bringing Society’s Voice into Science
Bringing Society’s Voice into Science University of Oulu Leestijd: 5 min
Bringing Artificial Intelligence Into the Real World
Bringing Artificial Intelligence Into the Real World Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) Leestijd: 4 min
Connecting the Dots With Life Course Epidemiology
Connecting the Dots With Life Course Epidemiology University of Oulu Leestijd: 4 min
Meer stories

Vergelijkbare vacatures

Upcoming PhD positions at the CGA
Upcoming PhD positions at the CGA Cologne Graduate School of Ageing Research (CGA) 7 maanden geleden
PhD Position in Anthropology/Sociology of Health and Illness and/or Science and Technology Studies
PhD Position in Anthropology/Sociology of Health and Illness and/or Science and Technology Studies University of Applied Sciences and Arts of Southern Switzerland - SUPSI 1 week geleden
PhD - student: Machine learning for semiconductor wafer metrology
PhD - student: Machine learning for semiconductor wafer metrology Advanced Research Center for Nanolithography ARCNL 10 maanden geleden
Postdoc in Microphysiological Systems for Tumor Biology
Postdoc in Microphysiological Systems for Tumor Biology KTH Royal Institute of Technology 4 weken geleden
Meer vacatures