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Field
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., exact diagonalization, Krylov subspace methods, quantum Monte-Carlo, tensor network methods. Demonstrated programming skills using relevant languages, e.g., C/C++, Python, Matlab, Julia, and familiarity
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Qualifications: A PhD in Physics, Astrophysics, Data Science or a closely related discipline is required. Strong proficiency with programming, especially in python and optionally in C/C++. Strict adherence to open
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is required. Strong proficiency with programming, especially in python and optionally in C/C++. Strict adherence to open source software and open science models. Ability and willingness to work as part
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, spectrometers, focal plane arrays, or particle/radiation detectors. Proven ability to contribute effectively in a collaborative research environment. Proficiency in software development using both Python and C
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science. Practical experience in Python programming and database management. Exposure to cloud computing environments and API integration. Development of skills in machine learning and data analysis
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microscopy experiments (e.g. confocal and light sheet) would be advantageous Experience and interest in performing programmatic bioimage analysis (ideally Python) and/or bioinformatics is required Candidate
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. Proficiency with data analytic programs (e.g., Stata, SPSS, AMOS, SAS, R/Python, etc.). Experience translating and disseminating research findings to broader audiences (e.g., business leaders, policymakers
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include: A Ph.D. degree in Chemistry or Physics or Biochemistry with experience in protein dynamics studies. Knowledge about concepts in statistical thermodynamics, in python scripting and C++ programming
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System (ROMS) experience with modelling of marine sediments programming skills in FORTRAN, MATLAB and/or Python experience with super-computers and with the Linux environment an established publication
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, or ensemble models (e.g., XGboost). Proficiency in programming languages commonly used in data analysis, such as R, Python, or C++ (or similar). Strong communication, collaboration, and presentation skills