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. • Strong proficiency in Python, FastAPI, and PostgreSQL. • Hands-on experience with LLMs, vector databases (e.g., Pinecone), and NLP tools. • Familiarity with clinical trial data structures, academic
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, e.g., in Python or Java Excellent written and spoken German and English Willingness to develop new methods and prepare results for publication What we offer A varied and exciting role
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qualitative data; (c) prepare reports and manuscripts; (d) develop and evaluate digitally-mediated programmes; (e) liaise with different organisations to support recruitment of participants; (f
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) conduct literature review; (c) liaise with different organisations to support recruitment of participants; (d) collect and analyse quantitative and qualitative data; (e) assist in programme
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
capacity) in the user interfaces mentined above; Assist the research team in the deployment and maintenance of the different Technologies and deployment infraestrutures in the Funchal demonstrator. Assist
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
work. Some experience in modelling of composite materials. Some experience in programming (Python, Fortran, CUDA or similar). Some experience in fluid mechanics and biomechanics. Personal characteristics
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all, one important research gap is the contrail formation pathways attributed to different engine exhaust conditions, which is crucial for the further development of contrails hence the resulting
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at Cordell Health Limited’s premises in Portsmouth. Requirements Data Analytics & Machine Learning: including model development using Pandas, NumPy, Scikit-learn, or Tensor flow Programming Skills: Python
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to uncover root cause and evaluate different solution options. . Experience in data science, analytics, IT, cognitive engineering, or related fields. . Ability to write high-quality Python code. Job ID
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, enabling new approaches for cancer treatment. A central challenge is to understand and control how different nucleic acids are co-encapsulated within a single nanoparticle and how their organization affects