Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
understand, explain and advance society and environment we live in. Your role Conduct research and prepare a doctoral thesis in metabolic network modelling and computational epigenomics Develop novel methods
-
dissemination in the field of contemporary history with a particular focus on digital methods and tools. The C²DH's ambition is to venture off the beaten track and find new ways of doing, teaching and presenting
-
inquiries, please contact Dr. Your profile PhD in Data Science, Environmental Science, or related disciplines Proven expertise in environmental science and data-driven research as PostDoc Experience in
-
brief (around 500 W) sketch for a potential PhD project (research question, a short literature review, an overview over the methods and data that you aim to use), related to the design and topics
-
the application of machine learning for official statistics. The subject of the thesis will be "Exploring Large Language Models for Data-to-Text Problems" and involves the study of technical methods and approaches
-
degree in Energy Policy, Energy Economics, Information Systems, Mathematics, Operations Research or a related field Strong knowledge of quantitative and/or computational research methods, ideally in
-
seldomly consider the overall infective competence represented by them in the context of the microbiome. Here, using a triptych approach leveraging in silico, in vitro and in vivo methods, we aim
-
of sustainable technologies that positively impact society. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ The candidate will be enrolled in the PhD program in
-
Master level (Co-) Supervision of master and PhD theses is highly encouraged For further information, please contact Prof. Iris Behrmann: Your profile A PhD in Biology, Biochemistry, Biotechnology
-
Team MIDAS and of DMATH Your profile PhD of high quality, ideally in Actuarial Science, Statistics, Economics or Finance Interest in interdisciplinary work, especially in actuarial/economic/finance