50 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "Dr" "UCL" PhD positions at Leibniz
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We are looking for a motivated and team-oriented PhD student starting from 1st March 2026 (earlier or later possible) in the research group of Dr. Charlotta (“Lotta”) Lorenz. Lotta will start her
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We are looking for a motivated and team-oriented PhD student starting from 1st March 2026 (earlier or later possible) in the research group of Dr. Charlotta (“Lotta”) Lorenz. Lotta will start her
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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its employees in reconciling work and family life and regularly undergoes the audit berufundfamilie® . Further information at: http://www.ifw-dresden.de . The Institute for Materials Chemistry, Group
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researchers specializing in marine segmented worms (Annelida) with comparative genomics experts. Its goal is to better understand European biodiversity using cutting-edge molecular and computational techniques
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to gain further qualifications. We offer our employees a broad spectrum of career opportunities in an attractive working professional environment (https://www.dwi.rwthaachen.de/seite/institutskultur). DWI
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-L. If you need further information, please feel free to contact Dr. Anna Backhaus Tel.: +49 (0) 39482 5202 What you need to know: For us, your qualifications and strengths count. Therefore, everyone
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The LIT - Leibniz Institute for Immunotherapy (foundation under civil law) (https://lit.eu ) – is a biomedical research center focusing on translational immunology in the fields of cancer
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at leveraging graph-theoretic approaches to analyze and predict food-effector