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methods to accommodate various levels of academic preparation and incorporate appropriate and engaging technology across different modalities of instruction to facilitate student learning. Facilitate
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skills in Python, with experience in scientific libraries such as PyTorch; Strong understanding of artificial intelligence methods, especially neural rendering; Familiarity with neural rendering, e.g
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a research fellow (PhD position) in data analysis and development of statistical methods in epidemiology and genetic epidemiology for a period of 3 years with a possible extension to 4 years. Western
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multi-scale, heterogeneous health data sets and develop methods aimed at building a comprehensive framework toward a holistic understanding of human health and disease. Formal application procedure
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for the pursuit of research and development activities, all in their current wording. 6. SCIENTIFIC ORIENTATION AND WORKPLACE The work is to be carried out at the facilities of the CISTER Labs (https
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of the selection procedure HERE Evidence of formal qualifications (in case of personal participation, originals or certified copies of documents will be required) Date, Method, Form, and Place for the Delivery
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Profile Recognised Researcher (R2) Positions PhD Positions Country Poland Application Deadline 17 Dec 2025 - 23:59 (Europe/Warsaw) Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer
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engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Portugal Application Deadline 24 Dec 2025 - 23:59 (Europe/Lisbon) Type of Contract Other Type of Contract Extra
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experimentally challenging and we are using specially-developed methods for library prep for high-throughput sequencing to achieve this. The research involves next-generation sequence library preparation in
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must be submitted by 02, December, 2025 (local time – Lisbon). 16.2. Applications must be formalized using the online application submission system, available on the APPLY: https://www.apply.up.pt