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Field
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-EM Experience/knowledge with Python-interfaces, including CryoSPARC or Relion. Experience/knowledge with purification and functional characterization of - preferentially eucaryotic - membrane proteins
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Physics 1. Necessary requirements: 1) Ph.D. in the field of physical sciences 2) good programming skills, knowledge of C/C++, Python in the context of physics, knowledge of Linux/Unix 3) scientific
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Physics 1. Necessary requirements: 1) Ph.D. in the field of physical sciences 2) good programming skills, knowledge of C/C++, Python, Linux/Unix environment, ROOT package 3) scientific achievements in
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data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will
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, astrophysics, or a related discipline completed by the time of appointment, Strong interest in solar physics, space weather, or plasma modeling, Programming experience (e.g., Python or equivalent), Some
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science or related discipline Experience and skills Experience in developing MLIPs, including good programming skills in Python and C, demonstrated via contributions to code repositories Experience with
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, robust/distributed control, data-driven identification/control, numerical optimisation. Strong programming skills in at least two of the following: Julia, MATLAB, C/C++, Python. Demonstrated ability
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characterization of deep-water habitats, GIS spatial analysis of species distribution data, and quantification of ecosystem services. Preference will be given to applicants that possess a diverse set of skills and
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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
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. You have strong programming skills in C/C++, Python, and/or Matlab. Knowledge of machine learning libraries (e.g., PyTorch or TensorFlow), SDR hardware (e.g., USRP, ADALM-Pluto) and software (e.g