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) - Knowledge of programming (C/C++/python/MATLAB), CAD software (SolidWorks/Autodesk) and basic electronics - Understanding of physical and chemical principles of/for transduction - Experience building
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). Bonus points if you have: Programming experience in Julia, Python or a similar language. Taken courses in Operations Research or Model Predictive Control. Prior research experience, especially in energy
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linear algebra; Excellent programming skills, preferably in Python. Experience with AI/HPC supercomputing and running software on scale. You are highly motivated, independent, and creative. Strong
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complex datasets with a preference for a candidate with at least basic knowledge of Python/R; Demonstrated interest in advertising or marketing communication and social media; An interest in open science
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public datasets as well as samples generated through collaborations. Ideal candidates will have strong interests in microbiome-host biology, bioinformatics, or machine learning. Experience with R or Python
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Master’s degree (120 ECTS), with experience in Animal Breeding. Experience with data handling softwares (e.g., R, SAS, Python, Unix Shell) and genetic softwares (e.g., DMU, F90, AIREML). Background in
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language (e.g., Python, R, Rust, JavaScript) Experience with data analysis, statistical modeling, or machine learning techniques Familiarity with handling large datasets (e.g., using SQL) and data pipelines
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your motivation, not about the courses you have taken.) • Programming skills: You should have very good programming skills in Python or similar, which allow you to effectively test out new explanation
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; Computational skills to handle and analyze complex datasets with a preference for a candidate with at least basic knowledge of Python/R; Demonstrated interest in advertising or marketing communication and social
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, machine learning, and programming (preferably Python) is highly valued. Effective communication with clinicians and interdisciplinary researchers is crucial, and excellent proficiency in English is required