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scientific publications. Requirements Applicants must have: A master's degree in data science or computational science. The applicant must have very good knowledge of scientific programming (Python or C
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employment. You should have good programming knowledge and experience with Python to conduct data analysis (like, for example, PyTorch, OpenCV, NumPy, MatPlotLib, Pandas, Pillow). Having experience with
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Single cell/Nuclei RNAseq data analysis (Seurat and Scanpy) and ATACseq Bulk RNA sequencing data analysis (DeSeq2) Programming in R, python, SQL and bash 3D tissue engineering Good knowledge English
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skills in relevant IT and programming environments for measurement control and data processing (e.g. Python, MATLAB, LabVIEW or similar). Excellent command of spoken and written English. Additional
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. Hands-on experience with modern AI frameworks such as PyTorch, TensorFlow, or equivalent Strong programming skills in Python and experience working in Linux/Unix environments Documented experience in
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MATLAB and Python. Experience in systems biology, mathematical modelling, and digital twins. Proficiency in Swedish, both spoken and written. Workplace You will be employed at the Department of
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Engineering, Computer Science, or a related subject. Proficiency in C++, Python, and ROS 2 is required. Strong scientific skills with proven excellence in real-life experimentation, as well as very good
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. Proficiency in C++, Python, and ROS 2 is required. Strong scientific skills with proven excellence in real-life experimentation, as well as very good communication skills, are considered a strong plus
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or Mechanical Engineering, Computer Science, or a related subject. Proficiency in C++, Python, and ROS 2 is required. Strong scientific skills with proven excellence in real-life experimentation, as
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or glia) Experience with microglia biology or neuroimmune interactions Behavioral experiments Solid data analysis skills (e.g., MATLAB or Python for calcium imaging data) FELASA B certification to