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soon as a suitable candidate has been identified.) The following documents should be upload: 1. Letter of motivation 2. CV 3. Copy of MSc-Diploma (if already available, otherwise later) 4. Names and
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receptors (GPCRs) using molecular dynamics simulations. The project will involve the application of standard and enhanced sampling techniques (including coarse-grained simulations) to: Characterize GPCR
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optical simulation skills (Preferably in Zemax) Strong programming skills (preferably in Python) Experience in deep learning algorithms is a plus Ability to work in a highly international team and
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the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc in Machine Learned Semiconductor Material Properties for Quantum Transport Simulations The simulation
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• Cover letter. • Detailed CV with full publication list. • Copy of the highest diploma. • Research plan. • Teaching statement. • List of references (who
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the interaction between wind farms and the atmospheric boundary layer using a combination of wind-tunnel experiments, field measurements, and advanced numerical simulations. The ultimate goal is to gain fundamental
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Ph.D. Position in Organic Chemistry, Polymer Chemistry, and/or Sol–Gel Chemistry & Materials Science
measurements Basic knowledge of molecular simulation or modelling (e.g., molecular dynamics, coarse-grained modelling, or structure–property simulations) is advantageous Excellent written and oral
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energy transfer, developing and employing computer simulations, laboratory experiments, and field analyses. Our aim is to gain fundamental insights and develop sustainable technologies to address societal
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research combines atomic physics, quantum control, and scalable architectures for fault-tolerant quantum computation, hybrid quantum simulation, and quantum-enhanced sensing. Project background Our group
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that bridge quantitative modeling and qualitative approaches. Postdoctoral researcher in peri-urban energy planning and sufficiency Your tasks Develop and apply optimization and simulation models to assess