152 computational-physics "https:" "https:" "https:" "https:" "Simons Foundation" positions at Forschungszentrum Jülich
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is located: https://www.fz-juelich.de/en/pgi/pgi-7/research-groups-1/ag-gunkel-1 Your Profile: Completed qualification to enroll for the Master thesis in Physics, Materials Sciences or Chemistry, with
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geography, remote sensing, geoscience, physics, computational geoscience, or related natural sciences with an overall grade of at least good Experience in programming (e.g., Phyton, Fortran) Advanced
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https
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. Your Profile: A Masters degree with a strong academic background in physics, mathematics, computer science, computational neuroscience, or a related field Solid knowledge in mathematics (linear algebra
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program the memristors Operando characterizing the device electrically and morphologically using conductive atomic force microscopy (C-AFM) Access and active control of advanced experimental setups Your
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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geophysics, physics, geoscience, computational geoscience, or related natural sciences with an overall grade of at least good Experience in programming (e.g., MATLAB, Python, C/C++) Advanced knowledge
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international conferences Supervise student theses Your Profile: Excellent Master`s degree with a strong academic background in computational engineering, mathematics, computer science, physics, engineering or a
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computational engineering, mathematics, computer science, physics, engineering or a related field Strong background in numerical methods and machine learning Proficiency in at least one programming language