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                hair follicles using nanosystems and the use of 3D printing to develop topical patches. About The Role The role will be to develop and clinically test a new drug-device treatment for onychomycosis 
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                The development of the computational kernel of the NEMESIS software library. Implementation and tests within the above-mentioned library. The net monthly salary is between €2,200 and €2,380 The contract duration is 
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                design and testing and chassis to system design; The FPGA gateware design and verification for qubit control signal processing on different FPGA chips; The low-level software driver and API development 
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                contributions to the advancement of the control systems, including hardware, FPGA gateware, embedded firmware and control software, for the Advanced Quantum Testbed (AQT) project and the Quantum System 
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                files (using Python libraries). Skills in predictive modeling (regression, time series, tabular models such as XGBoost, TabNet) for cost or duration estimation. Proficiency in software development 
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                % off for family & friends) & software discounts. Supporting Your Health & Wellbeing Wellbeing and Mental Health Support - 24/7 access to EAP service, free counselling sessions, wellbeing support 
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                analyses of public and confidential datasets relevant to the funded projects. Responsibilities include applying causal inference, spatial econometric, and multilevel modeling techniques to examine the 
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                printing to develop topical patches. About The Role The role will be to develop and clinically test a new drug-device treatment for onychomycosis (fungal infection of the human nail plate). Onychmycosis 
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                The Kelly lab welcomes individuals with diverse career backgrounds – PhD-level scientists in any discipline with expertise in data and programming, or software engineers outside of academia looking to change 
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                enrich the knowledge base (i.e. learning by interaction); (iii) querying the knowledge base about what was useful in the past to predict actions that might be useful in the present, try them out and update