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also provides funding for professional development by following two Advanced Courses offered by BioTech Delft (https://biotechdelft.com/), a membership for the Dutch Biotechnology Association that allows
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using R and/or Python, with experience in data analysis, computational workflows (e.g. Snakemake, Nextflow), and relevant computational libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow/PyTorch
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, and sustainability transitions; Interest in material flow analysis, life cycle assessment, environmental modelling, and scenario analysis; Experience with programming and/or data analysis (e.g. Python
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evidence. The aim of this project is to investigate thoroughly whether tVNS genuinely improves cognitive functions. For detailed project information, see: https://rb.gy/wmiqqk (project WP1) Your
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and scientific programming in R and/or Python. If your native language is not English and you do not hold a degree from an institution in which English is the language of instruction, you must submit
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received funding from the European Innovation Council and the European Union’s Horizon Europe research and innovation programme under Grant Agreement No.101306664. Where to apply Website https
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discipline. A strong curiosity for human gait and neuromuscular control after stroke. Experience with wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python
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programming skills (e.g., Python) for algorithm development, data analysis, and computational modeling. Experience with, or affinity for, clinical/experimental gait data from neurological populations (stroke
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Python and/or C++. Experience with scientific software development is an advantage. An interest in quantum algorithms and the motivation to contribute to one of the world’s emerging research areas. Strong
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activities. Collaborate with academic partners, National Public Health Institutes, ministries of health, and other public health stakeholders. Where to apply Website https://www.academictransfer.com/en/jobs