Sort by
Refine Your Search
-
Employer
-
Field
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
the team. The preferred starting date is 1 December 2025. Profile You hold a PhD in Computer Science, Physics, Engineering or a discipline equally relevant to the topic of the job, or can demonstrate
-
integrate your code into their workflows. The preferred starting date is 1 December 2025. Profile You hold a PhD in Computer Science, Physics, Engineering or a discipline equally relevant to the topic
-
should have a strong background in a quantitative discipline and an interest in neurodegenerative diseases. Essential: You obtained a PhD in Computational Neuroscience, Bioinformatics, Computer Science
-
should have a strong background in a quantitative discipline and an interest in neurodegenerative diseases. Essential: You obtained a PhD in Computational Neuroscience, Bioinformatics, Computer Science
-
Computer Science, Information Theory, Physics or related fields High level of mathematical maturity Experience with topics related to quantum LDPC codes and decoding algorithms, or demonstrated ability and
-
in Materials Science, Electrochemistry, Physics or demonstrate equivalent competences gained through prior work experience. You have hands-on experience with in situ electrochemical TEM cells. You have
-
interest in neurobiology and/or evolutionary biology, with a strong background in bioinformatics. PhD in Bioinformatics, Engineering, Computer Science, Physics, Bio-engineering, or Life Sciences
-
presentations, and potential valorization or IP development. Job requirements A PhD in data science, applied physics, chemistry, materials science, bioengineering, or a related field, with a strong focus on data