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Angebotsdatum: 28. November 2018
Art der Stelle: Doktorarbeit
Fachgebiet: Mathematik > Biomathematik
Titel des Themas: A statistical modeling approach to identify common triggers for replication stress and mitotic chromosome missegregation

Institut: University of Applied Sciences Koblenz
Adresse:
Prof. Maik Kschischo
Joseph-Rovan-Allee 2
53424 Remagen
Tel.: 49 2642 932330   Fax.:
Bundesland: Rheinland-Pfalz
Homepage: http://www.for2800.de
E-Mail Kontakt: mail

Beschreibung: We are looking for excellent candidates with a background or strong interest in network or systems biology, statistics and machine learning, and/or cancer genomics. The goal is to develop new statistical and machine learning methods and algorithms to better understand complex and high dimensional data and to contribute statistical and computational modelling toward a biological understanding of chromosomal instability and replication stress in cancer and other diseases.

We are looking forward to receiving your detailed application to be sent in one pdf file to Professor Maik Kschischo
(bewerbung-mut@rheinahrcampus.de) by January 6 2018. Please use the subject “FOR-2800-PhD” in your email.
Methoden: Statistics, Machine Learning, Bayesian Networks, Systems Biology
Anfangsdatum: 15. Februar 2019
Geschätzte Dauer: 3 years
Bezahlung: E13 TV-L / 100%
Papers: Replication stress links structural and numerical cancer chromosomal instability
RA Burrell, SE McClelland, D Endesfelder, P Groth, MC Weller, N Shaikh, ...
Nature 494 (7438), 492

Chromosomal instability selects gene copy-number variants encoding core regulators of proliferation in ER+ breast cancer
D Endesfelder, RA Burrell, N Kanu, N McGranahan, M Howell, PJ Parker, ...
Cancer research
Sonstiges: What do we have to offer?
• Excellent research opportunities
• Co-operation with leading German and international teams
• Support and supervision of your PhD project
• The opportunity to gain a strong research track record in biomedical data science and systems biology
• Fixed term for three years

What do we expect from you?
• A master’s level degree in bioinformatics, statistics, mathematics, physics, computer science or in a related field
• Strong mathematical and statistical skills
• Basic biological knowledge and willingness to learn new biology
• Experience with at least one programming language (e.g. R, Python or C)
• Creativity, independent thinking and passion for research
• Good English language skills



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