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. Python, PyTorch, TensorFlow). Enthusiasm for hands-on experimental work (e.g., mechatronics). Familiarity with polymers or other soft materials. Drive to tackle interdisciplinary challenges and communicate
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, materials science, physics or a related field. Experience in synthetic organic/materials chemistry. Experience with optics and imaging is highly appreciated. Basic programming skills (e.g. Python, PyTorch
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and applying new skills. Experience with programming in Python and a working knowledge of statistics It would further be beneficial if you have some of the following skills: Hands-on experience with
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distribution modelling Experience with spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological
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coding skills, particularly in Python and machine learning frameworks (PyTorch or Jax) The ability for creative and analytical thinking across discipline boundaries and abstraction levels Knowledge in
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advantage. Experience with programming languages (e.g. python, C++) is considered a plus. A strong team player, with well-developed communication and collaboration skills. Excellent command of written and
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data analyses includes writing well-documented, reusable code (Fortran, Python or R) Collaborate closely with fellow PhDs and project partners in an interdisciplinary context Present, publish and
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or more languages (Matlab, Python, R, C, Fortran) excellent knowledge of English (written and spoken) high degree of motivation, creativity, and flexibility ability and willingness to participate in sea
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for candidates who have: Strong programming skills, particularly in Python Solid analytical and mathematical abilities Experience with machine learning Strong communication skills and proficiency in English The
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machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as Python • Ability and enthusiasm to learn new technologies quickly • Ability to work highly