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Field
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testing. A campaign layer, driven by Bayesian optimization, decides which experiment to run next. The postdoc will own the system architecture below that layer: the PLC and instrument control, the software
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research questions and investigate trends in outcomes among people with diabetes. Advanced epidemiological and statistical methods will be applied, including causal inference approaches such as target trial
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. This research is targeted at answering some of the core ecological questions related to understanding how and why gray whales are currently using the Bay and what effects this use of Bay habitats has
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/instruction tuning methods. * Understanding of Reinforcement Learning (RL) principles, multi-objective optimization, or active learning/Bayesian optimization. * Strong programming capabilities in Python
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of navigating extremely large compositional spaces while simultaneously optimizing multiple target properties such as optical performance, stability, and sustainability. Who we are looking for We seek a highly
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, synthesis and biological testing/target profiling of small molecule inhibitors and chemical probes. The post holder will be responsible for designing and conducting experiments, analysing data, communicating
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motivated researcher to develop a strong independent research profile at the interface of Bayesian statistics, clinical trial design, optimization, computational statistics, and/or translational cancer
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CRITERION) Knowledge on Chemical Sensing (MUST CRITERION) Excellent knowledge of English (C1) (MUST CRITERION) Experience in research management and in leading project staff (TARGET CRITERION) Didactic skills
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new molecular targets, GPCR-like receptors, cellular signaling, and the development of new therapeutic strategies against Plasmodium falciparum. Mandatory requirements: Knowledge and experience with
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device-relevant properties Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in