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We have 13 Data Analysis (computational biology) PhD Projects, Programmes & Scholarships

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Data Analysis (computational biology) PhD Projects, Programmes & Scholarships

We have 13 Data Analysis (computational biology) PhD Projects, Programmes & Scholarships

PhD Student Positions at International Max Planck Research School for Molecules of Life, Munich

The International Max Planck Research School for Molecules of Life (IMPRS-ML), offers fully funded PhD student positions in the areas of biochemistry, structural biology, biophysics, cell biology, systems biology and computational biology. Read more

PhD Student Positions at International Max Planck Research School for Molecules of Life, Munich

The International Max Planck Research School for Molecules of Life (IMPRS-ML), offers fully funded PhD student positions in the areas of biochemistry, structural biology, biophysics, cell biology, systems biology and computational biology. Read more

Join our graduate school at the interface of biology and computation: IMPRS-BAC in Berlin

We are looking for outstanding graduates from all over the world – whether you have a degree in biology, biochemistry, bioinformatics, computer science or mathematics, as long as you have a passion for working at the interface between biology and computation, this may be the place for you. Read more

Exploring Sensorimotor Function and Developing Rehabilitation Strategies using Experimental and Computational Approaches

In collaboration with a multidisciplinary team consisting of biologists, clinicians, engineers, mathematicians, and computational biologists and startups around the globe, we aim to decipher the organizational principles of sensorimotor function in mammals. Read more
Last chance to apply

Machine learning algorithms for ab initio-based paramagnetic NMR analysis

The University of Bath is inviting applications for the following PhD project under the supervision of Dr Elizaveta Suturina in the Department of Chemistry. Read more

Machine Learning and Molecular Modelling in Mass Spectrometry

This PhD project will harness the power of computational modelling and machine learning (A.I.) to analyse data obtained by mass spectrometry experiments and predict structural characteristics of biomolecules and their interactions. Read more

Data-driven optimal prediction of bacteria growth

This project is devoted to an AI-based prediction of bacteria growth and its control by antibiotics. In synthetic biology, an improved understanding of bacterial regulatory circuits is required to develop complex biological systems with functionalities beyond existing in nature [1, 2]. Read more

Emergent Properties of Large Databases

The emergence of unusual or unexpected distributions in large data samples has resulted in some well-known laws, which includes Zipf’s Law in textual analysis [1], the Pareto distribution in the measurement of wealth [2], Benford’s Law in the distribution of first digits in real-world measurements [3], and Chargaff’s Second Parity Rule in genetics [4]. Read more

Personalising cancer treatment with tumour evolution modelling using AI-based genomics biomarkers and PK/PD

Tumour heterogeneity is a major problem limiting the efficacy of targeted oncological therapies. Most advanced tumours eventually become resistant to the treatments, ultimately making the patient succumb to metastatic disease. Read more

Network-based predictive modelling of cardiovascular disease risk

The risk of cardiovascular disease (CVD) is orchestrated by multiple factors. QRISK models (currently QRISK3) have been used in the UK to estimate CVD risk within the next 10 years for individuals without CVD. Read more
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