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disease into specific subclasses. You will develop AI algorithms to train models that predict if individuals (from which we create circuits) are prone to develop disease and to identify conditions that have
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research environment focusing on integrating multi-source data and developing novel algorithms to address the challenges posed by global environmental change. You will focus on integrating experiments, field
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for a long time and successfully discovered multiple new drug effects under this umbrella. Specifically, this position will be responsible for two projects dealing with generating signals within
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. Ph.D. or M.D. or equivalent degree, and a record of publications from prior training. 2. Prior experience in mouse genetics, tissue culture and molecular biology required. 3. Experience in
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://twhiscock.github.io/). There are multiple projects available in the group, and considerable flexibility in project direction. Successful candidates will have the opportunity and mentorship available to develop
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fundamental drivers of metastasis, drug resistance, and other key cancer outcomes. Projects will be tailored to the candidate’s strengths and interests, with multiple creative, high-impact directions available
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· Gender-friendly environment with multiple actions to attract, develop and retain women in science · 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
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. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimizing PIC algorithms
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for pediatric diseases. Project Description: Our research focuses on how genetic variants contribute to diseases during early development and on developing mechanism-driven therapeutics. While animal models have
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The Institute of Animal Physiology and Genetics of the Czech Academy of Sciences (in Libechov, Czech Republic) announces a call for: Postdoc and Ph.D. student positions in the Cell Biology of