Your personal sphere of influence:

As a university assistant prae doc, during this completion contract, your tasks are:

• Development of methods for evaluating next-generation sequencing (NGS) data, stochastic modeling and interactive visualizations of complex data structures.
• Publication of research results in international scientific journals.
• Presentation of research results at national and international conferences.
• Completion of your dissertation within the next 6 months.
• Participation in the group’s administration and teaching activities.

The position is limited to a duration of 6 months and is planned to be filled from 01.10.2024. 

Your future tasks:

You actively participate in research, teaching & administration, which means:

• You are involved in research projects and scientific studies.
• You work on your dissertation and its completion within the next 6 months.
• You take on administrative tasks in research, teaching and administration, if necessary.

This is part of your personality:

• Completed Master's/Diploma degree in the field of mathematics
• First practice in scientific writing and with molecular-genetic research methods
• Didactic skills / experience in e-learning
• IT knowledge (programming languages R and Python, basic knowledge of C++, implementation of interactive user interfaces such as Shiny)
• Knowledge of:
  o    mathematical modeling, especially stochastic (Markov) processes
  o    applied statistics and Markov Monte Carlo simulations.
  o    numerical optimization
  o    Application and interpretation of phylogenetic tree reconstruction software
  o    NGS data analysis, especially dimensionality reduction, trajectory analyses, data integration across different modalities
  o    Developmental biology, models of cell type differentiation
  
  
  
  
  
  
• Ability to work independently and as part of a team
• Flexibility, willingness to learn and travel
• Excellent command of written and spoken English

Nice to have:

• Knowledge of academic processes and structures
• Teaching experience in courses for Master’s students

What we offer:

Work-life balance: Our employees enjoy flexible working hours and can partially work remotely. 

Inspiring working atmosphere: You are a part of an international academic team of the University Research platform SINCEREST (Single cell regulation of stem cells) in a healthy and fair working environment.

Good public transport connections: Your workplace is easily accessible by public transport.

Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.

Fair salary: The basic salary of EUR 3.181,95 (30 hours/week part-time ) - according to the collective bargaining agreement for academic university staff (B1) - increases if we can credit professional experience. The contract is limited to a maximum of 6 months.

Equal opportunities for everyone: We look forward to diverse personalities in the team!