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CFD methods DFT and Molecular modelling linked to CCUS Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or experimental results. Ability to work in
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financial dynamics Apply machine learning and Monte Carlo techniques to simulate complex decision scenarios Contribute to a growing, interdisciplinary field that redefines biodiversity through the lens
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A 2-year funded postdoctoral fellowship position in understanding the molecular mechanisms and behavioral consequences of normal and abnormal mouse spinal cord development has become available
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are welcome. Skills are not essential but experiences in the following areas are preferred: biological physics, quantitative biology, nonlinear dynamics, stochastic simulations, dynamic systems, numeric
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collaboration with the national (GTK, CSC) and international project partners (Karlsruhe Institute of Technology). Perform ab initio molecular dynamics (MD) simulations together with consortium partners
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comprehensive simulation open-source codes. Experience in data analysis and simulations of complex and coupled nuclear engineering problems, using techniques such as (but not limited to) molecular dynamics
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for precision medicine, and beyond. Minimum Qualifications Ph.D. in biophysics, computational biology, chemistry, pharmacology, or a related field • Strong background in molecular dynamics simulations and/or
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closely related field, with a strong interest in biological systems are particularly encouraged to apply. We seek candidates with expertise in some of the following areas: molecular dynamics, Monte Carlo
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consists mainly of research within a large collaborative project focusing on biodiversity, interactions and dynamics in coastal ecosystems. The project seeks to investigate drivers of spatial and temporal
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; excellent verbal and written communication skills; and a collaborative mentality towards research and mentoring. Desired skills and techniques include Molecular Dynamics Simulation, Electronic Structure