PhD Student (gn*) Computational Biology für Münstertal gesucht

Arbeits- und Stellenangebot im Regiobizz Arbeitsmarkt

Job Kategorie: Gesundheits- und Sozialwesen Sozialwesen/Pflege

Stellenangebot Basisdaten

Arbeitsort:: DE 79244 Münstertal
Umkreis:: keine Angabe.
Art der Arbeitsstelle:
Letze Aktualisierung:: 14.11.20252025-11-14

ONLINE BEWERBEN - KLICKEN SIE HIER UM DAS ONLINE BEWERBUNGSFORMULAR ZU ÖFFNEN

Stellenausschreibung: PhD Student (gn*) Computational Biology

Arbeitgeber bzw. Arbeitsvermittler: Universitätsklinikum Münster in Hamburg

Branche: Gesundheits- und Sozialwesen

Kategorie: Sozialwesen/Pflege

Stellenbeschreibung: PhD Student (gn*) Computational Biology Fixed-term of 3 years | Part-time with 65% (25 hours/week) | Salary according to TV-L, salary group 13 | Lab for Functional Genomics in Psychiatry at the Department of Mental Health, University Muenster | Job ID: 11308 We are UKM. We have a clear social mission and, with our focus on healthcare, research, and teaching, we bear a unique responsibility. To meet our high standards every day, we are looking forward to your scientific support at the Institute for Experimental Pathology - ideally with you on board! RESPONSIBILITIES The mission of the Ziller lab is to develop and apply novel strategies to dissect the genetic and epigenetic basis of complex diseases, with particular focus on psychiatric disorders. Our research is focused on the question of how many genetic and environmental risk factors act in concert to create a permissive molecular environment that fosters the emergence of psychiatric disorders such as schizophrenia and bipolar disorder and lead to treatment resistance. In order to address this problem, we employ a highly interdisciplinary, integrative biology approach that utilizes human pluripotent stem cell-based model systems, high throughput functional genomic screening and big data-based machine learning, bridging the scales from genetics to patient level traits. The Ziller lab is part of the Department for Mental Health of the Medical Faculty, University of Muenster. The overall goal of the Department is to dissect the molecular mechanisms underlying psychiatric diseases and treatment resistance, rapidly utilizing these insights to develop new patient tailored therapeutic approaches in a knowledge driven fashion. REQUIREMENTS We are looking for motivated individuals skilled in computer science/computational biology/bioinformatics with the desire to make a difference for people suffering from mental health problems. A master’s degree in (Bio-)Informatics/Data Science or related disciplines is desirable. The positions focus on the development and application of new methods to predict multi-omic traits and phenotypes from large genetic datasets. More specifically, the computational team will build on our previous work (PMID:to establish and train deep neuronal network models on large existing datasets with multi-omic data. Subsequently, these models will be applied to clinical cohorts of individuals suffering from mental illness to perform patient stratification, discovery of new biological mechanisms and stratified drug target identification, empowering personalized medicine in psychiatry. Experience in quantitative genetics and/or deep neural networks, R/Python/PyTorch/Tensorflow etc. is desirable. Apply now via our career portal until 19.11.2025, including the following documents: Cover letter expressing research interests Brief summary of your previous projects, including applied techniques Complete C BENEFITS Exciting Projects Professional Development and Training Interdisciplinary Collaboration Part of Research Innovation Additional Benefits Exciting Projects Professional Development and Training Interdisciplinary Collaboration Part of Research Innovation Additional Benefits (*gn=gender neutral) The University Hospital of Münster is one of the leading hospitals in Germany. Such a position cannot be achieved by size and medical successes alone. The individual commitment counts above all. We need your commitment so that even with little things we can achieve great things for our patients. There are many possibilities open for you so that you may develop with them. Questions about how to apply? Click here Equal opportunities are a part of our Human Resources Policy. UKM supports the compatibility of work and family life and is certified as "Family-friendly Company" since 2010. Applications of women are specifically invited. In the case of similar qualifications, competence, and specific achievements, women will be considered on preferential terms within the framework of the legal possibilities. Handicapped candidates with equivalent qualifications will be given preference. Due to legal requirements working with us is only permitted with complete vaccination against measles. Universitätsklinikum Münster Albert-Schweitzer-Campus 1, Gebäude D5 48149 Münster www.ukm.de

Qualifikation: Arbeitskräfte

Verdienst:: n.a.

Bewerbung an: Universitätsklinikum Münster
Am Strandkai 1
De 20457 Hamburg

ONLINE BEWERBEN - KLICKEN SIE HIER UM DAS ONLINE BEWERBUNGSFORMULAR ZU ÖFFNEN

Stellenangebot powered by

Die Veröffentlichung dieses Stellenangebotes bei regiobizz.de erfolgt mit freundlicher Genehmigung von GermanPersonnel im Namen des Stellenanbieters. Eine gewerbliche Nutzung dieser Daten sowie deren Veröffentlichung in jeder Form ist ohne ausdrückliche Genehmigung von GermanPersonnel strengstens untersagt.