Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
postdoctoral candidates with background in social psychology, cognitive science, or social neuroscience to join a highly interdisciplinary project on the computational model of religious decision-making
-
accredited at the Department; Scientific coordination of the research directions of the Department; Financial sustainability of the Department in relation to national and European Operational Programme
-
computational methods. Well-equipped laboratories include instruments for nuclear magnetic resonance, crystallography, study of biomolecular interactions, genomics, and proteomics. The department has access
-
Department: Department of Machine Learning and Data Processing – Faculty of Informatics Deadline: 14 Jul 2025 Start date: preffered September 2025 / by mutual agreement Job type: full-time Job
-
CONTENT Pedagogical Participating in lectures or other forms of teaching in Bachelor’s or Master’s degree programme, as well as lifelong learning programmes. Supervising, consulting, or reviewing Bachelor’s
-
REQUEST Professional education, qualifications and experience Ph.D. – Doctoral Degree Programme completed in history or art history within 7 years prior to the onboarding – a condition professional focus on
-
physiology Conducting seminars, consultations and bachelor and master theses of students Participation in the creation and innovation of study materials and teaching methods Collaboration on scientific
-
Pedagogical Teaching in the Bachelor's degree programme in Japanese Studies - primarily the course Japanese Society, others according to the specialisation of the candidate and the needs of the workplace
-
maintenance of existing software and workflows. The position offers time flexibility, a high level of interdisciplinarity within fields of applied informatics, bioinformatics and analytical chemistry with a
-
peptides, including the design of de novo sequences based on the elucidated mechanism. The first step will be to develop a computational approach to determine the critical peptide properties required