162 programming-"the"-"DAAD"-"U"-"IMPRS-ML"-"IMPRS-ML"-"O.P" "Fraunhofer Gesellschaft" positions in Germany
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-efficient learning, uncertainty estimation, 3D vision. What you bring to the table Good knowledge in machine learning and computer vision Experience in programming with Python and familiarity with PyTorch
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to problems were few data is available. What you bring to the table Good knowledge in machine learning and computer vision Experience in programming with Python and familiarity with PyTorch, NumPy, Pandas and
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student with good grades in one of the following programs: Electric engineering, computer science, cognitive science, applied mathematics, physics, neuroscience or a related field A good command of Python
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work with our teams to develop a SPICE model for the Ferroelectric Tunnel Junction (FTJ). Further, it will be programmed with Verilog-A language and integrated with Spectra EDA. What you will do
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engineering, computational engineering science or a comparable engineering degree programme You are already familiar with programming in Python and have gained initial insights into data science and signal
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programme of computer science, mathematics, physics, electrical engineering, computational linguistics, or similar with good grades PyTorch skills: experience in training machine learning models with one
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in finite element modeling with Ansys Mechanical, APDL, and Discovery. You possess very good programming skills in Python. You work independently and in a structured manner. You are reliable, flexible
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. What you will do Literature research on the modelling of certain technologies and the possibilities of implementing these approaches in a MILP (Mixed Integer Linear Programming)-framework such as
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next-generation semiconductor technologies. What you will do Deposition experiments of binary metal alloys: Plan and conduct deposition experiments of binary metal alloys by sputtering (PVD) on a 300 mm
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, Biophysics or a related field), and current enrollment in a Master's program Practical experience with basic molecular biology techniques (e.g., pipetting, buffer preparation, sterile work); prior experience