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variant analysis, ideally in plants -genotype-environment association (GEA/EAA) or GWAS -programming in Python, with extensive experience working in Linux and multiple HPC environments. -population genomics
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with in vivo calcium imaging (either neurons or glia) Experience with microglia biology or neuroimmune interactions Behavioral experiments Solid data analysis skills (e.g., MATLAB or Python for calcium
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with programming. For information, python and Matlab are the most commonly used languages in this area. good ability to take initiative in your research work good ability to work independently and to
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subject. Proven experience with X-ray imaging/diffraction techniques, e.g. XRD-CT, 3D-XRD, µ/nanoCT, STXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability
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related subject. Proven experience with X-ray imaging techniques, e.g. µCT, nanoCT, TXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to work both
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networks. Of second highest importance are: Documented programming proficiency in Python and R for advanced analysis and integration of large-scale biological and medical data. Knowledge of network and multi
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. PCR, nucleic acid handling). Experience in computational data analysis (for example in Python). Ability to work both independently and as part of a collaborative, multidisciplinary team. Meritorious
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workflows is highly desirable. Data processing skills using statistical computing and visualization tools (e.g. R, Python or similar) are also considered a merit. The ability to handle large analytical
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-field fracture modelling, contact and micromechanics of particulate or composite materials, mechanical testing and X-ray tomography, and programming (e.g. Python, C++ or Fortran). An innovative mindset
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. Python, Julia, C++, R); experience with sequencing (NGS) data, geometry or graph algorithms, statistical inference or machine learning; error-correcting codes or information theory; molecular modelling