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- Institute of Photonic Sciences
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/Qualifications Evaluation criteria: a) Training and knowledge relevant to the advertised position (0–20 points) Official training and certification for the use of laboratory animals (current functions in
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of next generation Lateral Flow Assays (LFA) for the detection of biological threats. Main Tasks and responsibilities: The senior researcher role will require the candidate to supervise 2 PhD students in
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of next generation Lateral Flow Assays (LFA) for the detection of biological threats. Main Tasks and responsibilities: The senior researcher role will require the candidate to supervise 2 PhD students in
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transitions of information flow networks, near critical events. The successful candidate will: Develop and apply Transfer Entropy estimators to high-frequency financial time series. Characterise the temporal
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include subsidized lunch, free shuttle service between the Barcelona and Sant Cugat campuses, and a generous holiday entitlement. Selection process Interested candidates should submit a current CV, a
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quantum memories, quantum light sources, quantum frequency conversion and quantum processing nodes. The current positions will be within a project aiming at developing quantum repeaters using solid-state
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are looking for outstanding researchers worldwide who currently hold a PhD and have not resided or carried out their main activity in Spain for more than 12 months over the last 3 years. Successful candidates
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University of Barcelona (UAB), and University of Barcelona (UB). The Center is located at the UAB Campus, and currently hosts 200 members from across the world. Research Programs at CRAG (from basic science to
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sirtuin biology. • Strong expertise in molecular and cellular biology techniques, including protein biochemistry, immunofluorescence, and flow cytometry (FACS), as well as experience with proteomic and
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patients responds to the therapy. Biomarkers are biological indicators that can allow to identify patients that will, or will not, respond to a particular treatment. But patient selection based on currently