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research, will be given preference. Due to the nature of the research and the envisioned clinical research collaborations, good command of German will be mandatory. While more senior (4+ years after Ph.D
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data analysis and machine learning (e.g. XGBoost), including model interpretation techniques (e.g. SHAP). Very good oral and written proficiency in English. Excellent communication skills, ability
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experimental research, good programming skills, a keen interest in human-machine communication, and is motivated towards contributing to Hybrid Intelligence. You are also expected to interact scientifically with
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and development. This unique, nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high
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to the web page: werken bij de KNAW . Applying for a Certificate of Good Conduct can be part of the employment procedure.
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and experience of the candidate. A holiday bonus is paid to all employees. If you are relocating from abroad, we will support your move to Jyväskylä and Finland. We offer good working conditions for
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, design and implementation of an immersive training tool that leverage spatial computing, computer vision, and on-device AI to support automated feedback, skill evaluation, and scalable surgical and trauma
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. • Experience with MS2 fragmentation analysis • Knowledge of fungal natural product biosynthesis • Good interpersonal skills and a team-working attitude • Interest in training and mentoring students Required
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models (rodent handling/surgery experience a plus). ● Familiarity with quantitative/computational approaches (e.g., R, Python, image analysis, statistics) is a plus but not required. ● Ability
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and international partners. Support the application process for projects and securing third-party funds. Take on administrative tasks in research, teaching and administration. This is part of your