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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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both spoken and written is required The candidat must have a Master (M2) of data science, computer science, applied mathematics The position is available starting from October. Salary according
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observed in Drosophila larvae. This interdisciplinary project combines biology, neuroscience, and computational modelling to understand how the larva’s body’s physical properties influence its motor control
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to muscle physiology and clinical applications. Specific Skills or Experience Required/Desirable: The project will involve experimental and computational work. The student will become familiar with a
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nature. 🚀 Want to be part of the adventure? Apply now and put your energy at the service of research and innovation! -Master in Biology / Cell Biology / Bioengineering / BioChemistery / Microfluidics
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Description of the offer : The main objective of this PhD thesis is to unravel the microscopic mechanisms by which the hydrogen affects the properties of intermetallic magnets. To achieve this goal, we will make full use of X‐ray Absorption Spectroscopy (XAS), including X‐ray Magnetic Circular...
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Description of the offer : Spin triangles are magnetic molecules predicted to display spin chirality, magnetoelectricity and protected quantum degrees of freedom. These characteristics could allow electric spin control and long spin coherence properties. In the past we have confirmed the...
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Description of the offer : During this PhD thesis, we propose to explore the properties of exotic antiferromagnetism, in non-collinear antiferromagnets like Mn3Sn or in altermagnets. We will image their magnetic state at the nanoscale using scanning NV center magnetometry, both at 4K and room...
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MSc (or equivalent) in Psychology, Clinical Neurosciences, Cognitive Science, Digital Health, or related fields. Interest or prior experience in digital phenotyping, vocal biomarkers, and AI-assisted