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-speaking children and schools and communicating research findings internationally. You have experience with quantitative data analysis, preferably using tools such as R, Python, MATLAB, or similar software
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multidisciplinary team Basic knowledge of detector systems for particle physics Basic programming skills, e.g., python, Matlab or similar languages Fluent spoken and written English Proficiency of the German language
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of numerical methods Basic programming skills, e.g., Python, Mathematica or similar languages Fluent spoken and written English Proficiency of the German language is a plus. We offer: a unique opportunity to
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(R, Python, MATLAB, or similar). Willingness to conduct fieldwork in Arctic conditions. Proficient in both written and oral English. You will be offered the opportunity to participate in digital
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
: Good programming skills, preferably in Python, and strong analytical abilities. A solid background in machine learning, computer security, privacy, distributed systems, or a closely related area
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experience in Python and, more specifically, in common deep learning frameworks such as PyTorch and jax, for model training and inference have experience with embedded platforms such as FPGAs or RISC-V
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development Sensor systems and sensor characterization Embedded systems, microcontrollers or FPGA Laboratory work and experimental measurements Signal processing Python or similar programming languages
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finite element analysis; MATLAB or Python programming; An interest in electrified propulsion and industrially relevant research. Experience in electromagnetic design, thermal analysis, optimisation
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PhD Studentship: Advancing solid-state battery electrolyte manufacturing with terahertz spectroscopy
MATLAB/Python and signals processing Understanding of electromagnetics Genuine interest in battery technologies Experience with CAD and mechanical design How to apply: Candidates should submit
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related field with a strong quantitative focus. Strong programming skills in Python and demonstrated experience with machine deep learning frameworks (for instance, PyTorch or TensorFlow), preferably