Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
in the Medical Life Sciences program Complete your PhD at Kiel University (CAU), with a doctoral degree awarded either through the Faculty of Engineering or the Faculty of Mathematics and Natural
-
Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
letters. Closing date Feburary 28th 2026 Successful candidates will be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will
-
learning analysis of biomedical data and bioscientific programming for projects on neurological diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical
-
specific and well-funded research project dedicated to experimental quantum foundations and indefinite causal order. • You will present your research plan to the faculty and complete a dissertation agreement
-
Ambition to publish or experience in publishing at A* level conferences Strong programming and problem-solving skills Analytical mindset, hard worker, and team player Experience in a research or industrial
-
Experience in quantitative data analysis and in handling complex bodies of data in the use of at least one programming language (e. g. Python, Java ...) Language skills (CEFR-Level): English at least C1
-
differentiation, at both molecular and cellular level Competitive, interdisciplinary, and international research environment with a track record of intense mutual collaboration Structured PhD-training programme
-
interactions and organoid models. Competitive, interdisciplinary, and international research environment with a track record of intense mutual collaboration If desired, a structured PhD-training programme with a
-
actively to our weekly group meetings and some administrative duties - Complete the training programme for PhDs at the University of Vienna - Disseminate and present your work and represent the group through
-
background or strong interest in machine learning, graph theory, and their mathematical foundations. Solid programming skills Experience with machine learning libraries or willingness to acquire Excellent