Computational Postdoc - Effects of in-utero exposure to antiseizure medications (f/m/d)
Neuropathologisches Institut
PD Dr. Katja Kobow
Schwabachanlage 6
91054 Erlangen
Universitätsklinikum Erlangen
Neuropathologisches Institut
PD Dr. Katja Kobow
09131/ 85-34782
Job-Id: 9534
Neuropathologisches Institut
PD Dr. Katja Kobow
09131/ 85-34782
Neuropathologisches Institut
PD Dr. Katja Kobow
Schwabachanlage 6
91054 Erlangen
Published since: 03.12.2024
Job-Id: 9534
Neuropathologisches Institut
PD Dr. Katja Kobow
Schwabachanlage 6
91054 Erlangen
Universitätsklinikum Erlangen
Neuropathologisches Institut
PD Dr. Katja Kobow
09131/ 85-34782
Sounds interesting?
Who we are:
Epilepsies affect 50 million people worldwide, impacting equally men and women. In the US, more than half a million women of childbearing age are diagnosed with epilepsy and continue to be treated during their pregnancy and breastfeeding. The development of the nervous system is a critical phase during which environmental insults via the mother can have short- and long-term consequences. This is the reason why psychoactive drugs can have deleterious consequences on brain development of offspring when they are consumed during pregnancy and lactation. Many reports demonstrate that anti-seizure drugs (ASDs) are teratogenic and could, e.g., cause brain malformations or psychiatric disorders in a drug- and dose-dependent manner, which led to changes in prescription guidelines, particularly for valproic acid (VPA). However, there is not enough data yet regarding the “new” ASDs to extend these recommendations.
Beyond the first generation, exposure to ASDs may result in epigenetic changes to germ cells (sperm o
Your tasks:
- Conduct research on epigenetic signatures in epilepsy-associated phenotypes
- Analyze high-throughput epigenomic data (e.g., array, NGS, ONT) using R/Python and ML/DL approaches.
Comments:
- A one-page motivation letter highlighting relevant experience and career goals.
- Copies of qualifying degrees and academic transcripts (with grades).
- A brief summary of your Ph.D. thesis (max. one page).
- A short CV (max. two pages).
- Two letters of recommendation and a list of publications.
Essential experience/qualifications:
- Hold a Ph.D. in e.g., computer/data science, biology, biochemistry, biophysics, (medical) engineering, or a related field.
- Have substantial experience in R/Python programming and machine learning techniques.
- Are proficient in English (German is welcomed but not required).
- Show a commitment to collaborative work, strong interpersonal skills, and the ability to work independently.
- Have experience in supervising students and coordinating research projects.
Additionally beneficial are:
- Prior mobility (international or intersectoral) is considered an advantage.