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analysis (Python or R and HPC environments), and a strong interest in DNA repair, chromosome biology, meiosis, or genome stability. Experience in DNA repair assays, cytogenetics, plant functional genetics
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Operating Procedures (SOPs) Experience of working with user support. Experience of working in international collaborations or networks Experience of teaching Experience with scripting (e.g., Bash, Python
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, or robot perception. Strong programming skills in Python and/or C++, with experience in robotic software frameworks (e.g., ROS/ROS2). Experience with machine learning or computer vision methods, preferably
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expert knowledge in working with and developing bioinformatics tools in Python, Julia, R or C++. Have extensive experience with NGS data analysis. Have experience in sample preparation for and sequencing
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/or statistical modelling, demonstrated through thesis work and/or scientific publications. Solid programming skills, for example in Python (and/or R), and experience with relevant ML libraries (e.g
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Python or other languages. Research experience in academic or industrial environments. Strong written and oral communication skills. What you will do Your primary responsibilities include: Conducting
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and practical experience in coding languages such as Python and/or R. Assessment criteria Selection for third-cycle studies is based on the student’s potential to profit from such studies
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Strong programming skills, particularly in Python Familiarity with knowledge graphs Experience with graph neural network Personal Qualities We value candidates who are: Intellectually curious Self
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, Python You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. The following experience will strengthen your application: A doctoral degree
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Engineering, Physics, or neighboring fields (obtained before employment begins) Excellent communication skills in written and spoken English Ability to program in high-level languages such as Python and C/C