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Research assistant / doctoral student (d/f/m) - Emmy Noether Programme investigating autoimmune encephalitis DM.235.24

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Research assistant / doctoral student (d/f/m) - Emmy Noether Programme investigating autoimmune encephalitis DM.235.24

Specialty
Neurology

Charite Kampagne 1350x900 5 Entdeckung 1
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Work time
part-time

Start date
ab sofort

Employment period
limited

Application deadline
13.01.2025

Deployment location Charité
Campus Charité Mitte

Jobcode
4042

Salary group
E13

 

Arbeiten an der Charité

We are seeking a highly motivated PhD candidate with strong computational skills to join our research group focusing on the development and application of advanced machine learning methods for disease signature analysis and clinical outcome prediction in autoimmune encephalitis and related disorders. This position is part of a newly established DFG-funded Emmy Noether Programme investigating autoimmune encephalitis through both wet-lab and computational approaches. More information about the lab’s research can be found at www.momsenreincke.de. 

Die Stelle im Überblick

The successful candidate will work on developing and implementing machine learning approaches across several key areas:

  • Development of Disease Signatures:  Analysis of high-dimensional VirScan data to identify viral reactivity patterns
  • Predictive Modeling for Clinical Outcomes: Development of machine learning models for predicting functional outcomes in NMDAR encephalitis and other diseases 
  • Multimodal Disease Progression Analysis: Implementation of machine learning algorithms for analyzing multiple data modalities. Integration of brain imaging, clinical data, immunological markers, and psychological profiles

Scientific staff is given sufficient time to carry out their own scientific work in accordance with their employment relationship (§110 BerHG). 

Danach suchen wir

  • Master's degree in Bioinformatics, Computer Science, Data Science, Computational Biology, or related field
  • Strong programming skills in Python, including experience with deep learning frameworks (PyTorch or TensorFlow) and experience with machine learning libraries (scikit-learn, pandas, numpy)
  • Strong background in statistical analysis and mathematical modeling
  • Strong organizational skills and attention to detail

Additional qualifications we seek:

  • Knowledge of transformer architectures and their applications or background in multimodal data integration
  • Teamwork: Dedicated with proven ability to work effectively in a team
  • Leadership and initiative: Enthusiastic and self-motivated with demonstrated track record in conducting research projects
  • Analytical thinking and problem-solving abilities
  • Basic understanding of biology and medicine (helpful but not required)

Das bringt die Charité mit

  • A highly professional collaboration within a motivated and interdisciplinary team
  • A future-oriented, varied and challenging job with high levels of personal responsibility and personal freedom of action
  • Inter-cultural team events, well-structured onboarding with friendly colleagues
  • Discounts on various offerings for employees, for example shopping, travel, sports
  • Charité has been certified as a family-friendly university and family-friendly company since 2007

Informationen zur Stelle

  • Salary group E13 according to TVöD- VKA-K. The classification is based on qualification, the respective experience level is calculated from the years of professional experience. The annual salary (gross) is given for a full-time position without annual bonus, allowances and additional services. You can find the collective agreement here
  • The working time is part-time with 25.03 hours per week (65%)
  • At our company 30 days of vacation are standard
  • The application deadline is on: 13.01.2025
  • The position is limited till: 31.12.2027
  • Reference number: 4042

Application

 

Apply using our online tool and become part of the Charité.

Apply now

For further questions please contact:

Dr. Momsen Reincke

momsen.reincke@charite.de

More information

Data protection information

The Charité would like to point out that personal data is stored and processed at various locations at the Charité premises (e.g. specialty department, personnel representatives, HR department) as part of and for the purposes of the application process. Furthermore, the data may be transferred or processed within the group and to external bodies (e.g. authorities) to protect legitimate interests. By submitting your application, you agree to our data protection policy and terms of use for application procedures, which you can find here.

Additional information

Charité – Universitätsmedizin Berlin makes its personnel decisions based on suitability, ability and professional performance. The Charité aims to increase the proportion of women in management positions and therefore strongly encourages women to apply. Women with equivalent qualifications will be given priority within the scope of legal possibilities. Applications from people with a migration background who meet the recruitment requirements are expressly encouraged. Severely disabled applicants with equal qualifications will be given preference. A police good-conduct certificate, in some cases an extended good-conduct certificate, is required at the time of recruitment. Unfortunately, application documents can be returned only if a sufficiently stamped envelope is enclosed. Any incurred travel expenses cannot be reimbursed.