608 computational-physics "https:" "https:" "https:" "https:" "INRAE" PhD positions in Germany
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workshops, soft skills training and social events. Doctoral candidates in the BGTS study programme can pursue their doctoral studies within the programme of a participating research training group (https
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Max Planck Institute for Software Systems • | Kaiserslautern, Rheinland Pfalz | Germany | about 9 hours ago
Computer Science Department at Saarland University. Numerous research topics spanning all of Computer Science are available. Applicants are encouraged to look at covered topics at https://www.cis.mpg.de/ . Course
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grades in the field of mechanical engineering, material science, physics, computational science or similar, preferably with a specialization in the field of theory and/or simulation Strong understanding
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Your Profile: Master`s degree in physics, mathematics or a similar discipline Knowledge of quantum physics Experience in quantum field theory Numerical simulation skills Ability to show initiative and
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research spectrum covers a unique range. Institute of Material and Process Design The Institute of Material and Process Design is dedicated to the sustainable and ecological development of innovative
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requirements are for the ideal candidate: Master’s degree in meteorology, physics, environmental science or similar Knowledge of atmospheric dynamics and chemistry would be an advantage Good experimental skills
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semesters Beginning Winter semester Application deadline https://www.en.idk-philologie.uni-muenchen.de/index.html Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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the pharmacological action of small molecules on ion channels using electrophysiology as well as Ca2+ and Vm fluorometry REQUIREMENTS: University degree in biology, biochemistry, pharmacy, physics, biomedicine or other
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, conversely, to use clinical observations to develop new research ideas. The aim is to deliver medically relevant benefits to patients and the general population. The BIH PhD Program contributes to the overall
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science, data science, applied mathematics, physics, materials science, or a related field. Solid background in machine learning and/or computer vision. Interest in representation learning, active learning