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related discipline. A solid background in de novo protein design, protein structure prediction (Rosetta, AlphaFold, …), protein expression, structure elucidation, machine learning, C/C++ and/or Python with
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Engineering, Physics or similar is required Knowledge of at least one programming language is expected: Python, Matlab, Fortran, C++, … Experience and/or keen interest in transport modeling of porous systems
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engineering or similar field Experience in microfluidics, specifically segmented slug flow Programming proficiency, preferred in python and LabView Interest in the field of metabolomics, programming, and NMR is
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level. For analyses and model development, you will work with programming languages such as R, Python, and GAMS. You will work with existing micro‑economic simulation, optimisation, and emission models
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communicate in academia. Excellent computational skills (e.g., R,Python or comparable). Fluency in written and spoken English (at least C1 level). The capacity to participate in an interdisciplinary
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field Has strong interest in methodological research in healthcare Has experience with NLP and/or language modeling techniques Has solid programming skills (e.g., Python) Is motivated to work at the
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., PsychoPy, E-Prime, Gorilla, Presentation). Hands-on experience in data visualization, data analysis, and programming in R and/or Python. Experience in, and aptitude for, complex statistical modelling (inc
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development and/or cloud systems. You have affinity with science and AI. You enjoy working in a multidisciplinary team. You are familiar with the following technologies: python, Git, SQL, typescript and Docker
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Method (FEM) Numerical simulation (e.g. Abaqus, UMAT) and coding experiences (Python, Fortran) are a must Additional Information Benefits We offer a position in an inspiring, multidisciplinary and
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to constructive feedback; Good communication skills for spoken and written English. Knowledge of Dutch is desirable but not mandatory; Strong background in programming, using MATLAB and/or Python or other relevant