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research results in high-impact scientific journals. Your profile We are searching for a highly motivated candidate who has A PhD in soil science, agronomy, biology or similar Collaborative skills and
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Computer Science, with specialization on applied machine learning, statistical methods, and/or autonomous systems Strong programming skills Strong analytical skills Industry experience in information and
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water balance with data analytics to understand how variations in connectivity influence hydrograph characteristics, e.g. flood peaks and drought recession. A key objective is to identify and predict
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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. Requirements Essential Requirements PhD Degree in a relevant scientific field (e.g. genetic epidemiology, molecular epidemiology, statistical genetics, biostatistics, health data science, etc) by the time of
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or women’s health. The applicant must be fluent in English (written and spoken) and have experience with large-scale health data and epidemiological or related analytical approaches and methodology. Experience
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proliferation and the faithful transmission of genetic information to daughter cells. However, replication forks are constantly challenged by a wide range of intrinsic and extrinsic stressors, including metabolic
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regulating molecular responses to cancer therapies in human induced pluripotent stem cells) data for elucidating molecular mechanisms for health outcomes; and 3) evaluating health disparities through
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physiologically relevant models. The researcher will join an intellectually vibrant, collaborative, and multidisciplinary environment that fosters innovation and scientific excellence. Requirements PhD degree with
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should hold a PhD in molecular biology, genetics, epigenetics, developmental biology, or a closely related field . Experience in planning and executing experimental work in one or more of the following